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Behavioral Data Science Jobs in Minnesota (NOW HIRING)

$152K - $205K/yr

... customer behavior. * Proven experience in planning and driving analytical and data science projects. * Excellent analytical and problem-solving skills, with attention to detail. * Strong ...

Partner with data science and engineering to shape model requirements, evaluate performance constraints, and align system behaviors with user needs. * Partner with UX Researchto run usability testing ...

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Behavioral Data Science information

See Minnesota salary details

$23.3K

$104.3K

$194.3K

How much do behavioral data science jobs pay per year?

As of Jun 11, 2026, the average yearly pay for behavioral data science in Minnesota is $104,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,754.00 and $141,856.00 per year, depending on experience, location, and employer.

Is behavioral science a good career?

Behavioral Data Science is a growing field that combines psychology, data analysis, and statistical skills to understand human behavior. It offers opportunities in research, consulting, and technology sectors, often requiring proficiency in programming tools like Python or R. The career can be rewarding for those interested in applying scientific methods to real-world problems and typically involves continuous learning and interdisciplinary collaboration.

What careers use behavioral science?

Behavioral science is used in careers such as behavioral data scientist, marketing analyst, user experience researcher, and policy advisor. These roles involve applying psychological and behavioral principles to understand and influence human behavior, often utilizing data analysis tools and research methods. Professionals in these fields work across industries like technology, healthcare, finance, and government to improve products, services, and policies.

What is a Behavioral Data Science job?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do Behavioral Data Scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

What is a behavioral data scientist?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They often use statistical tools, machine learning, and behavioral theories to interpret data from sources like surveys, digital interactions, or experiments, supporting organizations in understanding user actions and improving products or services.

What can you do with a behavioural science degree?

A behavioral data science degree prepares individuals for roles analyzing human behavior using data analysis, statistical tools, and programming languages like Python or R. Graduates can work as data analysts, behavioral scientists, user experience researchers, or in roles that require understanding consumer behavior and decision-making processes in various industries.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

What are the most commonly searched types of Behavioral Data Science jobs in Minnesota? The most popular types of Behavioral Data Science jobs in Minnesota are:
What are popular job titles related to Behavioral Data Science jobs in Minnesota? For Behavioral Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Science jobs in Minnesota look for? The top searched job categories for Behavioral Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Behavioral Data Science jobs? Cities in Minnesota with the most Behavioral Data Science job openings:
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 26 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

17th of 426 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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