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Associate Data Science Analyst Jobs in Minnesota

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics & Data Science team across post-market surveillance, manufacturing, R&D, and clinical data sources.

The Marketing Data Scientist will analyze data to build predictive models that inform commercial strategy and collaborate with marketing and sales teams to enhance decision-making processes.

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Experience analyzing system performance data and time series data. * Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong background in statistical ...

Accountabilities & Responsibilities Exploratory analysis, hypothesis generation, feature ... Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a ...

D. in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field • 8+ years of experience in data science, machine learning, or advanced analytics, with a ...

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

Experience analyzing system performance data and time series data. * Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong background in statistical ...

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

Accountabilities & Responsibilities • Exploratory analysis, hypothesis generation, feature ... Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer ...

Required : • 10+ years of experience in data science / applied analytics, with ownership of end-to-end solutions from problem framing through production and measurable business impact with at least ...

MINIMUM QUALIFICATIONS: * 10+ years of experience in data science / applied analytics, with ownership of end-to-end solutions from problem framing through production and measurable business impact ...

MINIMUM QUALIFICATIONS: * 10+ years of experience in data science / applied analytics, with ownership of end-to-end solutions from problem framing through production and measurable business impact ...

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Associate Data Science Analyst information

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an Associate Data Science Analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What cities in Minnesota are hiring for Associate Data Science Analyst jobs? Cities in Minnesota with the most Associate Data Science Analyst job openings:
Infographic showing various Associate Data Science Analyst job openings in Minnesota as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Lead Data Scientist, Customer & Growth Analytics

Lead Data Scientist, Customer & Growth Analytics

THOMSON REUTERS

Eagan, MN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

18th of 428 rated business services


Job description

About the Role

Thomson Reuters Legal is seeking a Lead Data Scientist to help power data-driven growth and adoption of our AI-enabled legal solutions. In this role, you will design, build, and maintain predictive models-including propensity-to-upgrade models-that identify customers most likely to expand into AI products such as CoCounsel.
You will work closely with Lifecycle Marketing, Marketing Operations, and Customer Success to ensure insights and models are not only accurate, but actionable-embedded directly into our Customer Data Platform (Treasure Data) and downstream activation workflows. This is a highly collaborative, hands-on role focused on production-ready models that drive experimentation, pipeline development, and measurable customer value.

About the Role
As a Lead Data Scientist, you will

  • Design, build, and maintain predictive models that support customer expansion, including propensity-to-upgrade and engagement scoring models.

  • Use behavioral, usage, firmographic, and lifecycle data to identify signals that indicate readiness for AI adoption and expansion.

  • Partner with Lifecycle Marketing to translate model outputs into actionable segments and testable hypotheses across the customer lifecycle.

  • Collaborate closely with Marketing Operations to operationalize models within the Customer Data Platform (Treasure Data) for activation and measurement.

  • Develop features and datasets using product usage data, campaign engagement, learning activity, and customer attributes.

  • Validate, monitor, and continuously improve model performance, ensuring accuracy, explainability, and alignment to business outcomes.

  • Support experimentation by defining success metrics, analyzing lift, and interpreting results to inform optimization decisions.

  • Document modeling approaches, assumptions, and outputs to enable transparency, reuse, and cross-functional understanding.

  • Work cross-functionally with Data Engineering, Product, Customer Success, and Commercial teams to ensure data quality and aligned outcomes.


About You:
You're fit for the role of Lead Data Scientist if your background includes:

  • 5+ years of experience in data science, analytics, or applied machine learning in a B2B SaaS or subscription-based environment.

  • Experience building predictive or classification models that influence customer growth, retention, or expansion decisions.

  • Strong proficiency in Python or similar data science tools, including feature engineering and model evaluation.

  • Demonstrated experience working with large, complex datasets such as product usage, behavioral logs, or campaign data.

  • Experience partnering with Marketing, Growth, or Customer Success teams to translate insights into action.

  • Familiarity with deploying or activating models within analytics platforms or CDPs; experience with Treasure Data or similar platforms is a plus.

  • Strong understanding of experimentation, model validation, and measuring impact using both statistical and business metrics.

  • Ability to clearly communicate technical concepts and insights to non-technical stakeholders.

  • Curiosity and ownership mindset, with a strong bias toward building models that are used and deliver measurable outcomes.

#LI-GK1

New Position: This position is open due to an existing vacancy to support our evolving business needs.

What's in it For You?

  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

  • Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $158,000 USD - $293,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $137,100 USD - $254,700 USD. For Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 CAD. Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department atHR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com


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