ZipRecruiter

Log In

1

Data Science Jobs in Minnesota (NOW HIRING)

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

General Mills

Principal Data Scientist

Minneapolis, MN · On-site

They elevate the broader Data Science community through technical mentorship and leadership in AI/ML best practices that accelerate high-quality solution delivery and responsible AI adoption. KEY ...

Shipt

Data Scientist

Minneapolis, MN · On-site +1

MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields * 2+ years of experience with geospatial data (ex. GPS traces, spatial indexing systems, or routing ...

RVO Health

Senior Data Scientist

Minneapolis, MN · On-site +1

$105K - $150K/yr

Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions * Stay current on state-of-the-art techniques and quickly ...

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal ...

next page

Showing results 1-20

All JobsData Science JobsData Science Jobs in Minnesota

Data Science information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Minnesota? The most popular types of Data Science jobs in Minnesota are:
What are popular job titles related to Data Science jobs in Minnesota? For Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Minnesota look for? The top searched job categories for Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Data Science jobs? Cities in Minnesota with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Minnesota as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $120,211 per year, or $57.8 per hour.
Sr. Data Scientist - Measurement & Modeling Development

Sr. Data Scientist - Measurement & Modeling Development

Ovative group

Minneapolis, MN

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Job description

About Ovative Group:

Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About the Role:

As the Senior Data Scientist, you will play a key role in:

  • Developing advanced marketing measurement and modeling capabilities(e.g., MMM, Forecasting)that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and delivering differentiated AI-assisted marketing data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for our clients.

  • Partnering with driven, solution-minded experts, business leaders, analysts, and scientists atOvativein engaging with clients, and defining approaches and road maps for solutions to client problems.

  • Technical mentoring of junior data scientists across modeling approaches, experimental design, and code quality - building depth in the quantitative methods that power our measurement and modeling products.

  • Working with technology leaders, product owners, and engineers to convert novel solutions developed into scalable new services and product offerings atOvative.

  • Partnering with a larger Measurement & Modeling Development DS team toinform product roadmap priorities and emerging industry DS methodologies.

  • Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.

Responsibilities of a Sr. Data Scientist- Measurement & Modeling Development:

  • Lead technical data science contributorina high-performance multi-disciplinary teamcomprisingdata science, data engineering, and full stack members, responsible for your team's productivity, operational excellence, and business impact.

  • Drive technical advancement across measurement and modeling products -co-owning model architecture,methodology, and feature developmentacrossaspects of workfrom POCthrough production-ready deployment.

  • Partner closely with Engineering and Product Management to scale your team's innovative measurement and modeling solutions into product and service offerings.

  • Contribute toproduct development cycles within an agile environment, including sprint planning, backlog refinement, and translating research outputs into scalable, maintainable product features.

  • Provide mentoring, training, and other opportunities for effective technical development of data scientists.

  • Assistwith technical parts of business development as needed, including RFP response, sales, and conference presentations using AIassistancewhere applicable.

  • Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support.

Requirements:

  • 3+years of hands-on experiencein data science or a related quantitative field, with a strongtrack recordof delivering business value through technical innovation.

  • Experience contributing to product-centric data science teams, including working within agile developmentcyclesand translating research outputs into scalable, maintainable product features.

  • Expertiseinmachine learning, advanced statistical modeling, and optimization algorithms, with hands-on experience in the areas listed below.

  • Demonstratedexpertisein object-oriented programming in Python and statistical programming in R, with industry best practices in writing scalable and maintainable code.

  • Bayesian /Media Mix Modeling (MMM) experience.

  • Experience with time-series modeling and/or forecasting methods.

  • Expertise withlinear algebra and advanced statistical modeling.

Preferred Technical Qualifications:

  • Hands-on experience with optimization solvers (e.g.,Gurobi,Pyomo) and the underlying algorithm classes that power them, including gradient-based, convex, and greedymethod.

  • Experience with attribution modeling.

  • Applied experience integrating AI-assisted development practices into DS workflows, including code generation,methodologyexploration, and documentation.

  • Familiarity withcloud infrastructure and deployment practices(e.g., AWS/GCP/Azure),MLOpspipelines, and containerization.

  • Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.

  • Excellent communicator: able to lead conversations with technical and non-technical stakeholders, including senior client partners and internal executives.

  • Demonstrated leadership and mentorship skills; able to think independently, guide junior team members, and influence cross-functional teams.

Preferred Programming and Data Environments:

  • Languages: Pythonand R

  • Tools: Git, Docker, Poetry, Azure

  • Data platforms:BigQuery, Databricks

  • Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure),MLOpspipelines, and containerization.

Pay Transparency

AtOvative, we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus.Actual offers are made with consideration for relevant experience andanticipatedimpact.Additionalbenefits information is provided below.

For ourSr. Data Scientistpositions, our compensation ranges from $90,000to $132,000, which is inclusive of a 20% bonus.

Benefits of Working at Ovative Group:

We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.

Culture:

Culture matters and we've been recognized as a Top Workplace for tenyears running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We're open in communication and floor plan. We're flat - our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment-for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.

Compensation and Insurance:

We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.

We're rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy:

  • Access to all office spaces in MSP, NYC, and CHI

  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams

  • Generous paid vacation policy

  • 401k match program

  • Top-notch health insurance options, inclusive of same sex partners

  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs

  • Monthly stipend for your mobile phone and data plan

  • Sabbatical program

  • Charitable giving via our time and a financial match program

  • Shenanigan's Day

Working at Ovative won't be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it'll be the most rewarding job you'll ever have. If you think you can make us better, we want to hear from you!

Apply