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At Home Data Scientist Risk Jobs in Minnesota (NOW HIRING)

Product Data Scientist

Minneapolis, MN · On-site

$100K - $140K/yr

Description At In Tandem, we build technology that helps families manage everyday routines and ... Build pricing, promo, and refund-risk models that quantify the financial impact of monetization ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities ... As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will ...

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities ... As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will ...

Learn more at wearephaedon.com. About the Role: We are looking for a Senior Data Scientist who is a builder, not just a maintainer. This is a high-ownership opportunity for an AI/ML engineer who ...

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities ... The Senior Data Scientist will support the development of analytics and insights that drive Star ...

Senior Data Scientist

Minneapolis, MN · On-site

$132K - $155K/yr

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to ... Responsible for big data/analytics projects that gather and integrate large volumes of data.

Showing results 21-40

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Minnesota? The most popular types of Data Scientist Risk jobs in Minnesota are:
What are popular job titles related to At Home Data Scientist Risk jobs in Minnesota? For At Home Data Scientist Risk jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Minnesota look for? The top searched job categories for At Home Data Scientist Risk jobs in Minnesota are:
What cities in Minnesota are hiring for At Home Data Scientist Risk jobs? Cities in Minnesota with the most At Home Data Scientist Risk job openings:

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!