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Data Science Junior Jobs in Minnesota (NOW HIRING)

Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

... 10 junior and mid-level engineers Lead by example through hands-on software development while ... Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field, or ...

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Possess a Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Business ... junior colleagues. * Show advanced proficiency in programming languages such as Python or R for ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration * Collaborate with crossfunctional teams (analytics, product, engineering, business ...

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration * Collaborate with cross-functional teams (analytics, product, engineering, business ...

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Data Science Junior information

See Minnesota salary details

$33.8K

$77.7K

$124.9K

How much do data science junior jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data science junior in Minnesota is $77,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $79,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

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 job categories do people searching Data Science Junior jobs in Minnesota look for? The top searched job categories for Data Science Junior jobs in Minnesota are:
What cities in Minnesota are hiring for Data Science Junior jobs? Cities in Minnesota with the most Data Science Junior job openings:
Infographic showing various Data Science Junior job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $77,718 per year, or $37.4 per hour.

Sr. Data Scientist - Marketing Science & Offerings

Ovative group

Minneapolis, MN • On-site

Full-time

Medical, Retirement, PTO

Re-posted 13 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 capabilities that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and deliveringdifferentiatedAIassistedmarketing 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, guiding their algorithmic, testing methodological approaches, and reviewing their code.

  • Working with technology leaders, productownersand engineers to convert novel solutions developed to scalable new services and productofferingsatOvative.

  • 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:

  • Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your team's productivity, operational excellence, and business impact

  • Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models

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

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

  • Assistwith technical parts of business development as needed, including RFP response,salesand conferencepresentationsusingAIassistancewhere applicable.

  • Build strong relationships across the organization to understandinternal stakeholder needs for trusted data science support

Requirements:

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

  • Proven success as atechnical contributor in high-performing data science teams, preferably withinproduct-centric or consulting environments.

  • Very Important: Ability to quickly learn and execute

  • Expertiseinadvanced statistical modeling and machine learning, with hands-on experiencepreferredin techniques such as:

  • Media Mix Modeling (MMM)

  • Incrementality Testing/ Causal Inference

  • AttributionModeling

  • CustomerAnalytics:Lifetime Value (CLV) Modeling,Segmentation

  • Generative AI Data Science

  • Proficiencyinthe following preferredprogramming and data environments:

  • Languages:SQL, and/or R or Python

  • Tools: Git, Docker,MLOps,POSITIDEs, cloud notebooks,Frameworks like Shiny,Streamlit,etc

  • Dataplatforms:BigQuery, Databricks

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

  • Experience withBayesian/Probabilisticmodelingframeworks (e.g.,PyMC, Stan) is a plus.

  • Strongbusiness acumen, especially withindigital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.

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

  • Demonstratedleadership and mentorship skills; able tothink independently,guide junior team members and influence cross-functional teams.

  • Bonus: Familiarity withGenerative AIapplications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights).

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.Actualoffers 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!