Data Driven Vs Model Driven Jobs in Usa

Open date: March 4, 2026

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: Thursday, Mar 4, 2027 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 School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

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

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

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• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

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

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 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
  

• The Director of BI and Data Services will be primarily managing Power BI and Epic Cogito. Preferred candidates would reside in Oregon with the ability to come onsite.

• We are open to considering candidates remote out of state in which we can employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin

JOB SUMMARY/PURPOSE

• Oversees the design, implementation, and maintenance work of business intelligence, analytics, and data architecture managers. Responsible for the strategic leadership and direction of data architecture and business intelligence strategies to meet the data needs of the organization. Ensures system standards and compatibility with SHS information systems architecture, tools, policies, and procedures. Ensures that data initiatives align with organizational objectives and data governance policies and procedures. Responsible for budgeting of IS Business Intelligence and Data Services department, ensuring resources are allocated efficiently and cost-effectively to support the organization's goals. Leads maturation of Samaritan Health Services as a data driven, data literate health system, working with clinicians, business stakeholders, researchers, informaticists, IS colleagues, and others. Creates a culture of teaching, mentoring and professional development across the system. Maintains consultative, trusted-advisor relationships with stakeholders.

DEPARTMENT DESCRIPTION

• Information Services is committed to providing leadership, support and coordination of technology at Samaritan Health Services. The IS Business Intelligence and Data Services department provides comprehensive data support as a centralized resource for the organization. Services include data integration and warehousing, analytic reporting, business intelligence solutions, statistical data analysis, and data science solutions.

EXPERIENCE/EDUCATION/QUALIFICATIONS

• Bachelor's degree required (preferably in an Information Systems related field). An advanced degree in information systems, mathematics, statistics, analytics, engineering or a related field preferred.
• Eight (8) years professional and/or leadership experience in data analytics/business intelligence/data science required.
• Five (5) years experience in the management of technical resources required.
• Two (2) years experience in business intelligence/data science delivery required.
• Project management and continuous process improvement experience required.
• Experience with Epic Cogito strongly preffered.
• Experience in multiple data-related technologies required.
• Project management certifications preferred.
• Experience providing advanced business intelligence and data science solutions in a healthcare setting preferred.

KNOWLEDGE/SKILLS/ABILITIES

• Leadership - Inspires, motivates, and guides others toward accomplishing goals. Achieves desired results through effective people management.
• Conflict resolution - Influences others to build consensus and gain cooperation. Proactively resolves conflicts in a positive and constructive manner.
• Critical thinking – Identifies complex problems. Involves key parties, gathers pertinent data and considers various options in decision making process. Develops, evaluates and implements effective solutions.
• Communication and team building – Leads effectively with excellent verbal and written communication. Delegates and initiates/manages cross-functional teams and multi-disciplinary projects.

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Manufacturing Data & Sales Analyst to join their team. Seeking a data-driven analytics professional who thrives at the intersection of manufacturing operations, business intelligence, and executive decision support. This is a high-impact role for someone who enjoys building insight from the ground up—designing dashboards, automating reporting, owning data integrity, and translating complex information into clear, actionable business outcomes.

Why This Role Stands Out:

• High visibility and direct partnership with senior leadership.
• Opportunity to own and evolve enterprise-level analytics and reporting.
• Manufacturing environment where data truly drives strategy.
• Long-term growth potential in a stable, well-capitalized organization.

Key Responsibilities:

Data, Analytics & Reporting:

• Design, build, and continuously enhance dashboards, scorecards, and KPI reporting to support operational and commercial performance.
• Translate raw data into meaningful insights that influence decision-making at the executive level.
• Automate recurring reports and analytics processes to improve efficiency, accuracy, and scalability.
• Analyze trends related to revenue, production performance, forecasting, and product initiatives.

Manufacturing & Cross-Functional Partnership:

• Collaborate closely with Operations, Finance, IT, and Commercial teams to align data, metrics, and performance goals.
• Support forecasting, planning cycles, and performance reviews with reliable, actionable analytics.
• Identify risks, opportunities, and performance gaps within data sets and recommend solutions.

Systems & Data Ownership:

• Act as the primary owner of manufacturing and sales-related data systems, ensuring usability, accuracy, and value.
• Lead continuous improvement of reporting tools and system integrations.
• Partner with internal and external stakeholders to enhance system reporting capabilities.
• Champion data governance, consistency, and best practices across the organization.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Analytics, Business Intelligence, or a related field
• Proven experience building and maintaining dashboards, scorecards, and analytics tools.
• Background supporting a manufacturing environment.
• Strong ability to own data end-to-end—from extraction to interpretation to executive presentation.
• Experience automating reporting and analytics processes.
• Advanced analytical, problem-solving, and critical-thinking skills.
• Ability to clearly communicate insights to both technical and non-technical audiences.
• Advanced proficiency with Excel, reporting platforms, and Microsoft Office Suite.
• Advanced proficiency in SQL, PowerBI, and/or Tableau.
• Experience with IQMS is preferred.
• Strategic mindset with exceptional attention to detail.

Compensation Range: $90,000 - $120,000 + 15% Bonus

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Manufacturing Data & Sales Analystlooking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

Seeking a Data Analytics Team Lead to support U.S. Coast Guard (USCG) civil engineering and logistics programs through performance reporting, data integration, and analytical support. This role will lead development of dashboards and data products that help program leaders track progress, manage risks, and prioritize capital projects.

Role and Responsibilities:

• Lead advanced analytics supporting program performance, asset management, and investment prioritization.
• Integrate data from systems including SAM, FSMS, SharePoint, Power Platform, and other enterprise tools.
• Develop dashboards, performance metrics, and decision-support tools for leadership.
• Identify and resolve data quality, integrity, and reconciliation issues across systems.
• Support development of automated data pipelines and reporting processes.
• Collaborate with technical developers to support application modernization and analytics automation and actively participate in working groups and meetings to contribute to data-driven strategies
• Maintain and sustain performance management tools and reporting frameworks.
• Provide analytical support for Congressional requests, audits, and leadership inquiries.

Requirements:

• Bachelor’s degree (BA or BS) in Management, Engineering, or Business
• Project Management Professional (PMP) certification.
• Minimum 8 years of DHS or DoD experience (may be combined).
• Minimum 8 years Data Analytics Experience, preferably in DHS or DoD setting.
• Proficient in Microsoft Windows (including the Office 365/One Drive/Teams, Microsoft Project, and SharePoint).

Eligibility Requirements

• Must be a U.S. citizen and eligible to obtain and maintain a Public Trust clearance and Common Access Card (CAC).

Location: USCG Headquarters, Washington, D.C. (Hybrid, on site 3 days/wk)

Our client, Japanese Electronics manufacturing company, is seeking a Data Analyst in the Schaumburg area with 2+ years of experience.

Title: Data Analyst

Location: Schaumburg IL (Hybrid 3 days on site)

Type: Full Time Direct Hire

Salary: 55-60K

Key Responsibilities

• Develop and analyze eight-month sales forecasts; perform variance and gap analysis against actuals and plans.
• Monitor daily sales/order performance and deliver regular status and management reports.
• Identify data discrepancies and partner with sales to resolve issues and improve accuracy.
• Support short- and long-term sales planning through data-driven insights and risk analysis.
• Manage ERP (SAP/OASIS) master data and provide system support, enhancements, and user training.
• Support audit requirements and conduct market research and ad hoc analysis as needed.

Qualifications

• Strong verbal and written communication skills.
• Japanese language skill preferred.
• Professional collaborator with ability to support senior management.
• Detail-oriented and able to manage multiple deadlines with accuracy.
• Proficient in Excel, Power BI, Outlook, Word, PowerPoint, and SharePoint; skilled in database mining and large data analysis.
• Bachelor’s degree (or equivalent) with 2+ years of relevant experience.

**Please submit your application with a 1-2 page resume. Only qualified applicants will be contacted**

The Operations Data Analyst will play a crucial role in applying data analysis and reporting to support operational performance, production scheduling, and process improvements. This position will work closely with operations teams to assist in scheduling tasks as needed, while also owning analytics processes, reporting, and data-driven insights that improve productivity, quality, and throughput.

***This is 100% on-site, full-time position in Madison, IN. Hybrid or remote work is NOT available.

Qualifications

Technical Skills

• Strong SQL skills: ability to write complex queries, join large datasets, optimize performance, and produce reliable analytical outputs.
• Advanced Excel expertise: pivot tables, VLOOKUP/XLOOKUP, Power Query, macros/VBA a strong plus.
• Experience with data visualization tools (Power BI, Tableau, or similar) preferred.
• Comfortable working with large datasets and generating meaningful insights.

Production Experience

• Understanding of production planning, operations workflows, and scheduling concepts — ideally in a manufacturing/industrial environment.
• Prior work in supporting production operations with analytical tools or capacity planning.

Education

• Bachelor’s Degree preferred — Analytics, Industrial Engineering, Supply Chain, Data Science, Business Analytics, Mathematics, or related field.
• Equivalent experience with strong technical skills considered.

Preferred Qualifications

• Experience with manufacturing ERP/MRP systems.
• SQL Server, MySQL, PostgreSQL, or similar database experience.
• Familiarity with scheduling tools or production modules within ERP systems.
• Knowledge of Lean Manufacturing or Continuous Improvement methodologies.

***FOR IMMEDIATE CONSIDERATION, PLEASE SEND A COPY OF YOUR UPDATED RESUME.

The Press Assistant is responsible for paper hanging, inks, glues and other materials and assisting the press crew. This position directly helps Quad drive profitability by reducing the cost of errors through consistent work quality.

Responsibilities:

• Hanging of pre-printed and mill paper rolls – setting up accurate splices.
• Performs duties related to washing up press
• Performs routine maintenance on the press
• Set-up and maintain inks, glues.
• Tracking and recording paper consumption.
• Monitor various functions of press equipment.
• Identify, retrieve and setup various press parts
• General Housekeeping
• Perform other incidental duties as assigned

Qualifications:

• High School Diploma
• Some press room experience helpful.

This position is heavily and physically demanding. The employee is primarily standing while performing the duties of the position and requires constant lifting, bending while handling paper. Required lifting of up to 85 pounds, pushing/pulling up to 2000 pounds. 

We offer excellent benefits to eligible employees, including 401(k), holidays, vacations and more.

Quad is proud to be an equal opportunity employer. We are committed to creating a place of belonging — a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Quad does not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. Quad also prohibits harassment of applicants and employees based on any of these protected categories.

Drug-Free Workplace

Senior P&C Insurance Data Scientist opening in Atlanta.

Lead team of data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; collaborate with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI.

Ideal candidate has 8+ years of Data Science/Predictive Modeling experience in a P&C insurance setting, including extensive background in Python, SQL, and Git.

(PR13082)