Verrus Data Jobs in Usa

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Defense, Space & Security (BDS) KC-46 Tanker Program is seeking a Product Lifecycle Management Engineer to perform change integration functions for new and derivative products and provide technical support in Configuration Status Accounting tasks such as As-Built to As-Design reconciliation. This is a BDS position located in Everett, Washington, and reports to the PLM Manager of the KC-46 Configuration and Data Management team.

The KC-46 is a high-visibility, leading-edge Commercial Derivative airplane program to support the United States Air Force and International Customers.  As a Product Lifecycle Management Engineer, you will use Program Management Best Practices to oversee the definition and integration of configuration and data management tasks that span multiple engineering functions and airplane level engineering projects and processes as the KC-46 program transitions from Development into Production phases. This position will be 100% onsite in Everett, WA. 

Position Responsibilities:

• Collaborates/Leads the development, analysis, management and compliance verification of process and product baselines of complex products
• Defines, plans, coordinates and conducts (or leads) product and subsystem level technical design reviews and audits for new and derivative products.
• Coordinates/leads the integration and control of the configuration of Software and Hardware product elements and analyzes & resolves issues with engineering product structure.
• Develops, integrates and implements (or leads) engineering technical program plans including impacts, risks and incorporation of lessons learned spanning multiple engineering functions.
• Applies knowledge of the interface and integration constraints for complex systems to identify and analyze hardware, software, product and system impacts to effectively define an integrated change proposal.
• Creates, reviews and manages software description and software configuration documents and artifacts. Prepare SW deliverables meeting contract and CDRL (Contract Data Requirement List)
• Ensure consistent application of Configuration and Data management policies, processes and program management best practices, and those process documents are current and accurate.
• Understands and able to interpret contract requirements, Contractor Data Requirements List (CDRL) content related to Product Life Cycle include Configuration Management, Data Management and Configuration Status Accounting (CSA).

This position will be 100% onsite in Everett, WA

This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship.  An interim and/or final U.S. Secret Clearance Post-Start is required.

Basic Qualifications (Required Skills/Experience):

• Level 3: Bachelor's degree and typically 5 or more years' experience in an engineering classification or a Master's degree with typically 3 or more years' experience in an engineering classification
• Level 4: Bachelor's degree and typically 9 or more years' experience in an engineering classification or a Master's degree with typically 7 or more years' experience in an engineering classification
• Written and verbal communication skills with strong technical content.
• Experience and Knowledge of responsibilities and tasks performed by various Engineering Experience with Microsoft Office Applications; especially highly skillful with Excel as data process tool.
• Skills and ability to: collect, organize, synthesize, and analyze data; summarize findings; develop conclusions and recommendations from appropriate data sources.
• Knowledge of drawing/data systems (e.g., ""used on"" drawings, part relationships, product data management) and configuration management principles and processes (e.g., part number control, revision level, naming conventions, product identification numbering systems).
• Able to understand and interpret contract requirements, especially Contractor Data Requirements List (CDRL) content related to Configuration Status Accounting (CSA).

Preferred Qualifications:

• Knowledge of responsibilities and tasks performed by various Engineering departments/disciplines (e.g., design, test, software, technology, avionics). Knowledge of the interaction between departments/disciplines and how their products/processes affect one another and impact non-engineering processes (e.g., Operations, Logistics, Business).
• Familiar with relational database language and tools such as SQL Server, MySQL
• Familiar with application development languages and tools such as C-Sharp, HTML, CSS, JavaScript.

Relocation: 

This position does not offer relocation.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Shift:

This position is for 1st shift. Occasional alternative shifts as needed.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. 

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary Pay Range:

Level 3: $111,350-$150,650

Level 4: $135,150-$182,850

Applications for this position will be accepted until Mar. 20, 2026

Export Control Requirements:

This is not an Export Control position.

Education

Bachelor's Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Confidential Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Job: Data-MDM Architect (Profisee) with BA/PM experience

Location: Waukesha/Milwaukee, Wisconsin

Mode: Work from office, at least 3 days in a week

Primary Purpose

• Responsible for designing and architecting data/MDM solutions, analyzing, implementing, and deploying these solutions both on-premises and in the cloud. By collaborating with diverse business teams and utilizing extensive knowledge of big data tools and products, creates scalable, flexible, and comprehensive data solutions that tackle complex business challenges.

Major Responsibilities

• Manage the technical delivery of medium to large, moderately complex projects on-time with targeted zero defects.
• Provide planning, estimation, scheduling, prioritization and coordination of technical activities related to Enterprise-wide data solutions on both cloud and on premises.
• Ensure solutions alignment to Enterprise Architecture policies and best practices; ensure that process methodologies are followed in development.
• Accountable to business and technology management for end-to-end application scoping, planning, development and delivery that meets and exceeds quality standards.
• Identify and manage dependencies and downstream impacts of the project to minimize adverse effects on other projects and / or programs.
• Assist Project manager with the estimation of technical timelines and allocation of the technical resources to specific task.
• Communicate Expectations, Roles and Responsibilities to team members and hold them accountable to meet the expectations.
• Collaborate with IT partners to devise capacity plan and ensure appropriate infrastructure for the end-to-end system delivery.
• Supervise contingent workers and their daily tasks including onshore and offshore staff.
• Identify valuable data sources and automate collection processes.
• Maintain data accuracy and timeliness, a critical highly visible aspect of the position as it impacts supply chain and sales effectiveness, financial performance of the business, and customer perception through on-time delivery, working capital, financial reporting accuracy and product quality.
• Architect and design master data to drive towards “Single source of the truth”.
• Regularly monitor and measure performance of MDM standards.
• Performs problem and trend analyses to identify and correct problems and increase data quality.
• Review / Approve execution of data changes.
• Track and report through the CAB review board.
• Develop SLA’s and ensure they are met.
• Drive data mapping workshops for migrations.
• Coordinate and participate in the ETL (extract, transform, load) process for any migrations.
• Plan and architect M&A initiatives and integrations

AI Data & Python Tools Engineer

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

• Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
• Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
• Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
• Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
• Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

• 3+ years of Python Development with a background in back end services and data processing
• Exposure to AI/ML algorithms
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of LLMs, vector databases, and retrieval systems
• Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

• Knowledge of building and deploying cloud based applications
• Hands-on experience with cloud data platforms (AWS/GCP/Azure)
• Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

• Experience building web applications with modern frameworks (React, Vue, or Angular)
• API development and integration experience
• Basic UX/UI design sensibilities for internal tooling
• Experience with real-time data processing and analytics
• Background in building developer tools or internal platforms
• Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
• Experience building MCP servers and integrating with AI assistants
• Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

*Relocation assistance can be offered based on individual needs and circumstances*

Job Title: Data Analyst/Scientist

Duration: 12 months | Temporary to Hire

Location: Elgin, IL 60196

Worksite: Remote | 8:00 AM - 05:00 PM

Note: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state (CST time zone).

• 
  
• Develop reports and dashboard to support various stakeholders such as finance, Procurement, IT and Sales
  
• Dashboard creation / visualization using Tableau, with Data extracted from Amazon Redshift and Snowflake.
  
• Perform predictive modeling and forecasting using Python, R and Tableau
  
• Design, extract and integrate data components from multiple sources, such as Amazon Redshift, Salesforce, Snowflake
  
• Design, develop, test, and maintain Google App Script projects for various applications within Google Workspace (Docs, Sheets, Forms, etc.)
  
• Driving and tracking the adoption of dashboards and reports to measure success; iterate as needed
  
• Detailed data validation to ensure directional accuracy
  
• Server license management and data access enablement as well as data visualization support
  
• Manage, update and document processes, websites, and training documentation.
  
• Drive the development of and deliver training on data sources/tools to enhance the end users' ability to analyze the business
  
• Ensure the delivery of complex data required to support the needs of predictive Modeling and Analytics
  
• Perform rigorous testing and post-validation publishing of reports
  

• 
  
• Bachelor's Degree (Computer Science, Math, or Statistics) or equivalent
  
• 3+ years of data analytics and reporting experience
  

• 
  
• Excellent data visualization skills
  
• Solid experience in creating dashboard reporting in Tableau is a must for this position
  
• Hand-on experience with Tableau, SQL, Salesforce, Python, R, Google App Script, HTML and Power BI are required for this role
  
• Proficient in Microsoft Excel, Google Sheets and Access. Experience with designing, configuring, automating custom reports within these programs.
  
• Thorough understanding of data modeling and Extract, Transform, Load (ETL) processes.
  

• 
  
• Experience with Smartsheet development.
  
• Excellent oral and written communication skills.
  
• Extremely detail-oriented and organized with a high level of commitment and follow-through.
  
• Ability to manage multiple priorities in a fast-paced, ever-changing environment.
  
• A motivated self-starter who can work both autonomously and collaboratively.
  
• Exceptional problem solving, critical thinking, and project management skills with the capacity and anticipation to adjust based on shifting deadlines and moving priorities.
  

Open date: May 28, 2025

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Wednesday, May 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

UC Berkeley Extension, the professional and continuing education division at the University of California, Berkeley, invites applications for a pool of qualified instructors to teach in-person professional post-baccalaureate courses for our Business, Data, and Innovation Visiting Student Programs. All courses are offered weekdays in-person on the UC Berkeley campus with some online instructional components. The pool will remain in place for nine months; those interested in remaining in the pool beyond the advertised final closing date must reapply. The number of these positions varies from semester to semester, depending on the needs of the department.

We are seeking qualified applicants who possess subject matter expertise and/or interest in the following subjects/specializations (but not limited to).

• 
  
• Accounting Foundations for Business
  
• Applied Economics for Business
  
• Marketing Management
  
• Organization and Management
  

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• Data Analytics Capstone
  
• Data Visualization
  
• Data Warehousing and Business Intelligence
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  

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• Artificial Intelligence Foundations
  
• Data Science Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning
  
• Machine Learning and Deep Learning
  

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• Building a Business Plan
  
• Business Negotiating
  
• Business Process Modeling and Design
  
• Design Thinking and Prototyping
  
• Finance for Entrepreneurs
  
• Innovative Business Models for Entrepreneurs
  
• Leadership and Change Management for Startup Founders
  
• Leadership and Sustainable Strategies for Innovation and Growth
  
• Managing Product and Go-to-Market Strategies
  
• Marketing Research: Concepts and Techniques
  

Instructor duties include but are not limited to:

• 
  
• Complete mandatory training programs by deadlines established by UC Berkeley.
  
• Complete required administrative tasks in a timely manner including: updating and submitting syllabi using approved syllabus template; communicating required texts and materials; communicating classroom technology and support needs, etc.
  
• Make appropriate adjustments to continually improve the syllabus, curriculum and course materials. May be based upon programmatic and/or student feedback.
  
• Prepare and deliver course materials, lectures/presentations, and design learning assessments.
  
• Design interactive and motivational classroom activities to fully engage participants and to reinforce student learning.
  
• Stay current within the subject, discipline or field of practice.
  
• Use subject-matter expertise and leverage additional resources appropriately to enhance the curriculum.
  
• Utilize course support platforms, including the Canvas Learning Management System and Zoom Pro (as applicable).
  
• Communicate teaching objectives and specific learning outcomes to students, and clearly outline/explain the grading policies for the course.
  
• Respond to student questions and learning needs in a timely manner.
  
• Employ culturally competent and other relevant teaching methodologies in the classroom, including teaching non-native speakers and/or students with academic letters of accommodations for disabilities.
  
• Evaluate student achievement of specific learning outcomes and assign grades.
  
• Post final student grades to the transcript system within two weeks of course completion.
  
• Handle student inquiries about final grades and consult with Program Director/Manager as needed.
  
• Retain student records according to University policies.
  

Program: academic-areas/business/#!?tab=full-time-programs

• 
  
• Bachelor's degree (or equivalent international degree)
  

• 
  
• 3 or more years of professional industry work experience since degree, or 3 or more years of teaching experience since degree.
  
• All work must be performed in the United States, whether in person or online.
  
• For those who are not US citizens or permanent residents, a legal permit that allows work in the United States (such as a US visa that allows employment) is required by the start date of the position. Due to the part-time, temporary nature of instructor positions, UC Berkeley Extension is unable to provide US visa/work permits for this position.
  

• 
  
• Advanced degree in subject area preferred.
  
• 5 or more years of professional industry work experience in course subject since degree.
  
• 5 or more years of teaching, training, mentoring, or coaching experience in course subject, within a U.S. corporate environment or at a U.S. college/university institution.
  
• Knowledge of federal and California state laws and regulations as applicable to the course subject.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Effective verbal/written communication and presentation skills (English).
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or Resume.

  
  

• Instructor Information Form - Download the Instructor Information Form PDF to your computer desktop and open it using the Adobe Acrobat application. It is not recommended to use an internet PDF viewer or Google Docs to complete this form. Complete, save, and upload the PDF form to your AP Recruit application.

  
  

• 
  
• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

• 
  
• REQUIRED: NetSuite experience
  
• PREFERRED: Ability to work with multiple levels within the organization to document and collect requirements and then translate these requirements into intuitive, actionable reporting solutions through NetSuite Analytics Warehouse (NSAW).
  
• Create standards for reporting, dashboards, and visualization solutions.
  
• Creates reusable data models that are aligned to governance and department standards.
  
• Document business definitions, data logic and repot specifications.
  
• Create standards around change management for data models and NSAW.
  
• Validate and ensure data accuracy, consistency and reliability across all data models and reporting.
  
• Create documentation, hands on training and recorded training to increase end user acceptance and engagement.
  
• Other duties as assigned.
  

• 
  
• Bachelor's degree in computer information systems, or related field.
  
• 5-10 years hands on experience.
  
• Experience with Power BI, Tableau, NetSuite Analytics Warehouse, or other major Business Intelligence Tools.
  
• Transforming complex enterprise data into usable models, and visual designs for end users.
  
• Effective analytical thinking and problem-solving skills, with ability to translate business questions into analytical requirements
  
• Effective communication skills for partnering with non-technical stakeholders and document, validate and provide quality assurance skills.
  
• Must be a US Citizen
  
• Excellent verbal and written communication skills.
  

• 
  
• Proficient in Microsoft Office Suite or related software.
  
• Excellent organizational skills and attention to detail.
  
• Excellent interpersonal skills.
  

• 
  
• Microsoft Office Suite or related software.
  

• 
  
• No supervisory responsibilities for this position.
  

• 
  
• Prolonged periods of sitting at a desk and working on a computer.
  
• Must be able to lift 15 pounds at times.
  
• Frequently required to stand, walk, stoop, kneel, crouch, or crawl.
  

• 
  
• Health Benefits - (Medical, Dental & Vision Insurance)
  
• Flexible Spending Account Options
  
• 401K Plan
  
• Employer paid Life & Disability Insurance
  
• Paid Time Off
  
• Employee Referral Program
  
• Employee Assistance Program (EAP)
  

Open date: June 10, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Nov 25, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About CDSS:

Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.

CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today's datafied world, interact with data ethically, and masterfully engage as informed leaders.

CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities:

CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice.

Teaching a CDSS course may include holding office hours, assigning grades, advising students, preparing course materials (e.g.,slides, syllabus, homework assignments), providing clear and prompt feedback on student work, and maintaining the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

• 
  
• Own and grow a defined portfolio of Tier-1 and Tier-2 data center accounts, including operators, hyperscalers, and large enterprise customers
  
• Develop and execute multi-year account plans focused on share-of-wallet growth, service line expansion, and long-term partnerships
  
• Establish executive-level relationships (Director, VP, and C-Suite) across customer organizations
  
• Approximately 40% travel
  

• 
  
• Consistently achieve or exceed annual bookings and gross-profit targets
  
• Originate, qualify, and close complex opportunities
  
• Drive cross-sell and upsell opportunities across Delivery and Services lines of business
  
• Maintain disciplined pipeline management, forecasting accuracy, and deal qualification standards
  

• 
  
• Lead the full pursuit process including discovery, solution shaping, pricing strategy, and commercial negotiations
  
• Partner closely with Preconstruction, Estimating, Engineering, and Operations to deliver technically and financially sound proposals
  

• 
  
• Represent the company in the local and national data center ecosystem, including industry events, operator forums, and partner meetings
  
• Collaborate with OEMs, GCs, ECs, developers, and design partners to influence early project positioning
  
• Provide market intelligence on customer buying behavior, competitor activity, and emerging service demand
  

• 
  
• Serve as a senior commercial leader and role model within the sales organization
  
• Mentor junior sellers or inside sales partners supporting assigned accounts
  
• Act as the voice of the customer internally, ensuring alignment between sales commitments and delivery execution
  

• 
  
• Bachelor's degree or Associate's degree preferred
  

• 
  
• 10+ years of B2B sales experience, with significant experience selling into the data center industry
  
• Proven success managing and growing large, complex strategic accounts
  
• Demonstrated experience selling construction, commissioning, controls, or technical services in mission-critical environments
  
• Strong understanding of data center delivery models, buying cycles, and stakeholder dynamics
  
• Track record of closing multi-million-dollar deals and managing long sales cycles
  
• Exceptional executive presence, communication, and negotiation skills
  
• Must be a US Citizen
  

• 
  
• Experience working with or selling to Hyperscalers, Colocation Providers, or Fortune 500 Enterprises
  
• Background in White Space Fit-Out, Commissioning, Controls, or Integrated Data Center Services
  
• Experience operating within a private-equity-backed or high-growth environment
  
• Familiarity with Ashburn, Phoenix, or Dallas data center markets and customer ecosystems
  

• 
  
• Annual bookings and gross-profit attainment
  
• Strategic account growth and penetration
  
• Pipeline health and forecast accuracy
  
• Customer retention and expansion
  
• Cross-line-of-business revenue contribution
  

• 
  
• Microsoft Office Suite or related software.
  

• 
  
• No supervisory responsibilities for this position.
  

• 
  
• Prolonged periods of sitting at a desk and working on a computer.
  
• Must be able to lift 15 pounds at times.
  
• Frequently required to stand, walk, stoop, kneel, crouch, or crawl.
  

• 
  
• CPG offers a competitive and comprehensive package that includes additional benefits beyond enhanced medical, dental, and vision coverage
  
• Health Benefits - (Medical, Dental & Vision Insurance)
  
• Flexible Spending Account Options
  
• 401K Plan
  
• Employer paid Life & Disability Insurance
  
• Paid Time Off
  
• Employee Referral Program
  
• Employee Assistance Program (EAP)
  

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to work towards their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, and work toward excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to provide Better Health and a Brighter Future to people around the world.

Here, you will be a necessary contributor to our inspiring, bold mission.

GOALS:

• In collaboration with the Clinical Data Strategy & Operations Leaders, and TAU Leaders, and other functional area leadership to develop, establishes and drives strategy of Takeda's global data standards, processes and technologies across the clinical data continuum for quality of deliverables and global data interoperability.
• Responsible for establishing and managing a Standards vendor to support Standards Management vision.
• Responsible for end-to-end Standards Governance to ensure proper utilization, adherence to standards governance and processes, and the ongoing, thorough assessment of library enhancements and deviations.
• Build relationships across the global Takeda organization and with vendor partners in support of the standards vision and implementation.
• Participates with and influences at industry standards forums in support of Takeda's therapeutic areas.
• Serves as a resource to support questions raised by regulatory agencies.

ACCOUNTABILITIES:

• Has advanced knowledge of all standard library components and metadata across data collection, analysis and reporting continuum.
• Works with Clinical Data Strategy & Operations Leaders, TAU Leaders, and other functional area leadership to develop, and adhere to, Standards Management vision and overall metadata management strategy.
• Leads cross-functional Standards initiatives internal or external to Takeda and helps to ensure coherence of standards initiatives across organization.
• Provides strategic guidance toward execution of comprehensive data continuum to staff and vendors acting as project managers or leads on cross-functional initiatives.
• Supervises staff and vendors developing standards library to ensure alignment to standards strategy.
• Develops training strategy and ensures consistent training program for standards.
• Provides senior oversight to vendor/CROs for utilization of Takeda standards.
• Conducts ongoing review and development of metrics to assess standards utilization and development trends.
• Oversees Standards Governance, managing deviations from standards content and processes.
• Drives ongoing development and improvement of industry standards and provides leadership to external professional activities and organizations, such as CDISC, SCDM, EDC users group, SAS users group, Third Party Data Acquisition groups, etc.
• Actively communicates submission standards and guidance documents, regulatory agency expectations and industry trends to Takeda organization.
• Complies with all applicable regulatory expectations.

EDUCATION AND EXPERIENCE:

• BS/BA or MS in a life science or analytical area.
• 12 years data management and/or database or statistical programming experience in pharmaceutical industry or health related field.
• 8+ years of experience supporting clinical trials across all phases of development.
• 5+ years of progressive management experience.
• Proven track record for development and management of a standards library.
• In-depth knowledge of data management systems and processes, analysis and reporting principles.
• Good knowledge of statistical programming languages (e.g. SAS).
• Technical expertise (e.g. Windows NT and UNIX operating systems) and familiarity with common software products and technologies used in conjunction with SAS.
• Expertise in the requirements and technology required to support electronic data capture and electronic submissions.
• Proven track record in identifying and implementing organization-wide initiatives, standards, and processes.
• Proven track record in managing global, cross-functional standards and processes.
• Knowledge of medical and statistical terminology. Comprehensive understanding of pharmaceutical standard initiatives such as CDISC (ADaM, SDTM, CDASH and ODM), HL7, etc.)
• Able to influence without authority.
• Excellent teamwork, organizational, interpersonal, conflict resolution and problem-solving skills.
• Entrepreneurial and innovative; takes measured risks; thinks outside the box; challenges the status quo.
• Pragmatic and willing to drive and support change.
• Is comfortable with ambiguity .
• Support a culture of continual improvement and innovation; promote knowledge sharing.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

#LI-Remote

Additive Manufacturing Data Integration Engineer

Hybrid – Washington, DC (20036)

Up to $135,000

Travel ~25%

We’re looking for an Additive Manufacturing Data Integration Engineer to support external contributors and help prepare real‑world AM data for our AI‑ready platform. You’ll work directly with contributor teams, guide data preparation efforts, and ensure datasets are accurate, consistent, and ready for integration.

Responsibilities

• Serve as the main technical point of contact for external AM data contributors.
• Manage contributor timelines, milestones, and deliverables.
• Clean, transform, and curate AM data for ingestion.
• Interpret and validate AM data such as machine logs, build parameters, material properties, and inspection results.
• Build models that connect AM materials, processes, and performance outcomes.
• Apply internal data schemas for consistency across datasets.
• Create metadata templates, ingestion guides, and data quality reports.
• Provide clear feedback to improve contributor data quality.
• Maintain onboarding materials and playbooks for future contributors.

Preferred Qualifications

• Advanced degree in mechanical engineering, manufacturing engineering, materials science, materials informatics, or related field.
• 5+ years in Additive Manufacturing development.
• 3+ years in data science, data management, or similar roles.
• Experience with SQL.
• Proven experience leading technical projects.
• Experience working within or contributing to technical standards.

Position Summary:

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team.

The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing’s computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list).

To meet Sinai’s scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers

This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data.

Key Responsibilities:

HPC Cybersecurity & System Administration:

• Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.).
• Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing.
• Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency.
• Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members.
• Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research.
• Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc.
• Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently.
• Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment.
• Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources.
• Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai.
• Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization’s infrastructure up-to-date.
• Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai.
• Provide after-hours support as needed.
• Perform other duties as assigned or requested.

Requirements:

• Bachelor’s degree in computer science, engineering or another scientific field. Master's or PhD preferred.
• 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment.
• Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc.
• Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare).
• In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system
• Experience with secure enclaves and confidential computing.
• Proven ability to provide mentorship and technical leadership to team members.
• Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance.
• Excellent analytical ability and troubleshooting skills.
• Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused.
• Scripting and programming experience.

Preferred Experience

• Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures.
• Experience with Azure, AWS or Google cloud services.
• Experience with LSF job scheduler and GPFS Spectrum Scale.
• Experience in a healthcare environment.
• Experience in a research environment is highly preferred.
• Experience with software that enables privacy-preserving linking of PHI.
• Experience with Globus data transfer.
• Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

About Us 

Smart Reimbursement Inc. (SRI) is a healthcare finance and analytics firm that provides innovative solutions to reimbursement challenges faced by hospitals. We combine deep policy expertise with advanced data tools to help hospitals. 

Our mission is to improve the healthcare industry by leveraging technology to automate and streamline financial reporting processes, enabling hospitals to focus on providing the highest quality of care to patients. Although SRI has been in business since 2011, our culture is more like an early-stage startup, and we prioritize experimentation, innovation, and collaboration. 

The Role 

We are hiring a Python Data Analyst to deepen ownership of our internal analytics models and improve the reliability and scalability of our delivery engine. This role will focus on preparing data, running internal Python models, troubleshooting issues, and improving performance and automation across workflows. 

You will work closely with our delivery leadership and technical subject matter experts to learn existing workflows quickly, then contribute improvements over time. 

Responsibilities 

• Prepare and shape large healthcare datasets (claims, remits, transactions, reimbursement-related files) for internal Python models. 
• Operate and support internal Python models reliably, including troubleshooting and root-cause debugging. 
• Work with very large datasets (100M+ rows) and implement pragmatic approaches when standard tools are insufficient. 
• Build and maintain efficient data pipelines for recurring and ad-hoc analytics projects. 
• Automate data transformation and reporting workflows with clean, reusable code. 
• Support the preparation of audit-ready workpapers and other client-ready documentation. 
• Participate in internal and client meetings as needed to clarify goals and communicate findings. 
• Improve documentation, internal tools, and project templates. 

What Success Looks Like 

• You can run internal model workflows end-to-end with minimal oversight. 
• You can diagnose and resolve issues independently and improve reliability for the broader team. 
• You deliver meaningful improvements to performance, automation, and repeatability. 
• You are a strong team player who supports delivery execution and reduces friction. 

Required Qualifications 

• Advanced Python skills (ability to run, own, and improve an analytics codebase, not just write one-off scripts). 
• Strong experience working with large datasets and performance constraints. 
• Advanced MS Excel skills (complex formulas, pivot tables, data validation, and ability to work with larger datasets). 
• Comfort in Jupyter notebooks and reproducible workflows (pandas required). 
• Proven debugging ability and strong analytical judgment. 
• Experience working with sensitive or regulated data; HIPAA/PHI experience strongly preferred. 
• Clear communication and a collaborative working style. 

Nice to Have 

• Experience with healthcare data or hospital finance/reimbursement workflows 
• Familiarity with EPIC healthcare data 
• Experience optimizing data workflows (e.g., parquet/arrow, duckdb, polars, dask, spark, databases) 
• SQL proficiency 

Location, Logistics, and Process 

• Nashville Hybrid or Fully Remote. 
• Background check required. 
• This role involves HIPAA-protected data and requires strict data security practices. 
• Interview process includes a Python technical assessment. 

Compensation & Benefits 

This role offers a base salary of $130,000–$150,000, depending on experience, plus a performance-based bonus. Benefits include health, dental, and vision insurance, and a 401(k) with employer match.