Data Migration Examples Jobs in Usa

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• 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.
  

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• 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: 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.

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• "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

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• 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
  

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• 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
  

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• 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

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.

How you will make an impact:

• Develop and maintain shared semantic models in Power BI using star schema design.

• Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.

• Define and implement best practice report/data management through Microsoft Fabric integrations

• Review and maintain reports for performance optimizations, style consistency, and best practice improvements.

• Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.

• Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.

• Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.

We are looking for people who have:

• Experience (4+ years) in Data Modelling, Data Analysis, or similar.

• Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.

• Demonstrated proficiency creating SQL queries to manipulate large datasets.

• Strong analytical and problem-solving skills, with a focus on best practice and data governance.

• Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.

• Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.

• Experience with BigQuery or other data warehousing platforms.

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.

We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range:

Job Posting Title:

Location:

Support Center - Irving

The Manager – Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.

Major Activities

• Strategic Thought Leadership
• Design and execute analytics projects to quantify impact from various marketing campaigns
• Work with business partners to identify the challenges that needs to be quantified
• Act as subject matter expert for all projects in which involved

Data Analytics

• Mine extensive database in support of business insights and measurement
• Develop well-thought, actionable insights using advanced analytics techniques
• Determine best approach for each analysis and articulate pros/cons of methodology
• Ensure quality of data used in analysis and all presentation material
• Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
• Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships

• Manage internal client relationships and serve as the SME for analytics within the CRM function
• Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
• Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
• Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Staff Management & Development

• Manage a team of data scientists
• Mentor analysts regarding analytics best practices, methodologies, and programming techniques
• Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned

Minimum Knowledge/Skills/Abilities

Minimum Education

• Bachelor’s degree in relevant quantitative field required, Master’s preferred

Minimum Special Certifications or technical skills

• Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
• Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires

• A minimum of 5 years of relevant work experience in data science for a consumer centric company
• Proven experience partnering with business decision makers on advanced analytics topics
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other

• Work as a self-starter, not waiting for direction from senior leadership

Preferred Education

• Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at and . The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.

Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-8 MICHAEL).

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Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

**Direct Hire***

• Title: Digital Technology Data Scientist Lead

• 2 positions

• Start Date: asap

• Compensation Range: $139,800.00/year, up to 10% bonus

• Location: Oshkosh, WI strongly preferred. New Hudson, MI site will also be considered. (3 days in office, up to 2 days remote).

• Relocation offered to Oshkosh, WI, but not to New Hudson, MI.

• Travel: minimum travel (1-2 times per year to other sites)

• US Citizen or Green Card Holder

• Interview process: Screening interview with internal recruiter, after an assessment, an interview with the hiring manager and director, then a panel interview (onsite possible if local to Oshkosh).

**Must have on resume and be able to discuss during interview process**

• Required technical skills (see below in JD)

• Strong business experience working with business counterparts.

• Effectively being able to gather business requirements, build a solution, communicate it to the client.

• Exceptional communication skills.

• Be able to tell a story with data.

• Must be able to describe how their experience impacted the business, the solution they built.

• An understanding that they are working in a bigger environment; must have a center of excellence outlook, be comfortable with mingling with counter business parts and have strong social skills. This is not a "put your head down and work" role.

• Experience from manufacturing, automotive, industrial, or engineering industry is preferred, but is open to other industries like healthcare, retail, or biotech for example.

Heavy financial industry experience should be avoided.

• Supply chain functions experience is important

• B.S. with 5 years of experience

• M.S. with 3 years of experience

• The team is not looking for director level candidates or talent only looking for management roles. This is an individual contributor role.

Job Description:

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.

SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.

YOUR IMPACT:

• Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.

• Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns.

• Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.

• Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.

• Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products.

• Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. • Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.

• Coach and mentor other team members on new technologies and best practices across data science and business intelligence.

• Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. • Actively supports the advancement of the strategic roadmap for data science.

MINIMUM QUALIFICATIONS:

• Bachelors degree with five (5) or more years of experience in the field or in a related area.

STANDOUT QUALIFICATIONS:

• Masters or doctorate degree

• Expertise in Power Platforms

• Familiarity with LLM (open source or closed)

• Experience in Front end web app development (Flaskapp, Gradio etc)

• Familiarity with RAG architecture

Data Business Analyst (Primarily REMOTE)

Optomi, in partnership with a leading data-driven organization, is looking for a Data Business Analyst to join their team. The Data Business Analyst will support the data team by engaging in documentation, requirements gathering, and data analysis. The role involves working closely with business teams to document their needs, create technical requirements, and develop PowerBI dashboards. The analyst will collaborate with the Principal Data Engineer and PM/Scrum Master to ensure seamless communication and updates to business teams. Post-deployment, the analyst will gather feedback to ensure high user adoption.

What the right candidate will enjoy:

• Engaging in a collaborative, remote-friendly environment.
• Working with cutting-edge data platforms like Databricks on AWS.
• The opportunity to influence architectural decisions early in the project lifecycle.

What type of experience does the right candidate have:

• Proven experience in business analysis and customer service.
• Strong skills in documentation and requirements gathering.
• Experience with PowerBI and AWS services, especially Lambda.

What the responsibilities are of the right candidate:

• Gather and document business needs and technical requirements.
• Develop and enhance PowerBI dashboards, focusing on visual appeal and accuracy.
• Partner with data engineers and project managers to deliver updates and gather feedback from business teams.
• Conduct data analysis and QA testing to ensure dashboard quality and functionality.