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Remote Data Science Sports Jobs in Minnesota (NOW HIRING)

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Senior Data Scientist

Minneapolis, MN · On-site +1

$108K - $181K/yr

What you will do * Partner with data science leaders, AI engineering teams, and business ... International relocation and international remote working arrangements outside of the United States ...

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ... Sportsman all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles;

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases * Contribute to experimentation with novel ML and Generative AI ...

AI Researcher

Minneapolis, MN · On-site +1

$130K - $195K/yr

Collaborate with data scientists, engineers, developers and team members to build proof-of-concepts ... like sports, renewable energy, data centers, healthcare, and more. We are builders at heart ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

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Showing results 1-20

Remote Data Science Sports information

What are the key skills and qualifications needed to thrive as a Remote Data Science Sports professional, and why are they important?

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

What is the difference between Remote Data Science Sports vs Remote Data Analysis Sports?

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

Do data scientists work in sports?

Data scientists in sports analyze large datasets to improve team performance, player health, and game strategies. They use tools like Python, R, and machine learning techniques to extract insights from sports data, often working for teams, leagues, or sports analytics companies.

How much do sports data scientists make?

Sports data scientists typically earn between $70,000 and $120,000 annually, depending on experience, location, and the level of the organization. Entry-level roles may start lower, while experienced professionals or those working with major sports teams or organizations can earn higher salaries, especially with advanced skills in statistical analysis, machine learning, and programming tools like Python or R.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $130,000 annually, depending on experience, education, and the complexity of projects. They often work with statistical software, machine learning tools, and sports analytics platforms in a collaborative environment.

Can data science jobs be done remotely?

Remote data science jobs, including roles in sports analytics, are common and often involve tasks such as data analysis, modeling, and visualization using tools like Python or R. Many companies offer remote positions to access a wider talent pool, and these roles typically require strong communication skills and familiarity with cloud-based collaboration platforms.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.
What job categories do people searching Remote Data Science Sports jobs in Minnesota look for? The top searched job categories for Remote Data Science Sports jobs in Minnesota are:

Senior Data Science Consultant, Insurance - Remote

CSAA

Remote

Full-time

Retirement

Posted 14 days ago


Job description

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Internal candidates: Please go to Workday and click "Find Jobs" link under Career

Thank you for considering opportunities with us!

Job Title

Senior Data Science Consultant, Insurance - Remote

Requisition Number

R7828 Senior Data Science Consultant, Insurance - Remote (Open)

Location

Arizona - Home Teleworkers

Additional Locations

Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more}

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Senior Data Science Consultant, Insurance - Remote

Your Role:

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare for the future of the insurance industry. In this highly strategic position, you will build and apply advanced simulation models to explore emerging trends and their potential impact over the next decade. Your work will help leaders evaluate scenarios, test assumptions, and make informed decisions about how CSAA can adapt, grow, and continue serving members in a rapidly changing marketplace.

This role is ideal for a seasoned data science professional with deep expertise in modeling, simulation, AI, data analysis, and programming, along with the ability to translate complex findings into clear business recommendations. You will work closely with senior leaders and cross-functional teams to design simulation frameworks, interpret results, communicate assumptions and limitations, and influence decisions that may shape CSAA's long-term strategy. Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community.

Your Work:

  • Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid).

  • Translate business or operational problems into robust simulation frameworks.

  • Conduct scenario analysis, what-if studies, optimization, and risk analysis.

  • Interpret simulation results and large datasets, delivering actionable insights to executive and technical audiences to support decision-making.

  • Guide business users on model assumptions, limitations, and best practices.

  • Coach and mentor junior consultants and review modeling work for quality and rigor.

  • Support problem understanding and solution design, including proposals and executive presentations.

  • Partner closely with data governance, model governance, and regulatory compliance teams.

  • Key partner to the business, advising and making actionable recommendations with significant impact.

  • Play key roles cross-functionally with data, IT, governance, legal, and business.

  • Take a leading role in shaping the culture of data science community in CSAA.

Required Experience, Education and Skills:

  • Bachelor's degree in STEM or bachelor's degree with an equivalent combination of relevant education.

  • Requires 10 years related professional experience with transferrable skills.

  • Experience in developing data pipelines for simulations and data science models.

  • Experience with fostering the culture of data scientist community.

  • Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation tools).

  • Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and comprehensive modeling dataset.

  • Strong communication skills to explain model insights to technical partners, business partners, and corporate leaders.

  • Master-level data science industry knowledge and knowledge of the insurance marketplace.

What would make us excited about you?

  • Master's degree

  • CPCU, ACAS or FCAS

  • Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and underwriting

  • History of thought leadership in modeling, including publishing, speaking at conferences, or contributing to industry collaborations.

  • Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars.

  • Actively shapes our company culture (e.g., supporting employee resource groups, mentoring employees, volunteering, joining cross-functional projects).

  • Champions our cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.).

  • Demonstrates a company ownership mindset, thinking beyond boundaries of their own area.

  • Travels as needed for role, including divisional / team meetings and other in-person meetings.

  • Fulfills business needs, which may include investing extra time, helping other teams, etc.

Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska.

Why Choose a Career at CSAA IG?

At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive.

Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits.

Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support longterm success.

Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional inperson moments that deepen connection and collaboration.

Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.

Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us.

CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com

If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education.

CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

CSAA Insurance Group is an equal opportunity employer.

#LI-JH1

Knowledge, Skills and Abilities

Required:

  • Master-level tool knowledge (e.g., SQL, Python, R, AWS, DataRobot, other systems)

  • Depth knowledge data mining, data evaluation and proficiency in compiling an effective and comprehensive modeling dataset

  • Create innovative ways to mine and use data, including semi-structured or unstructured data

  • Master-level statistical, ML, GenAI and LLM modeling skills through development, deployment, monitoring

  • Key partner with data governance, model governance and regulatory compliance

  • Deep understanding of responsible AI principles for GenAI, including governance, compliance, legal, and ethical considerations; ability to influence internal policy around GenAI

  • Key partner to the business, advising and making actionable recommendations with significant impact

  • Play important role cross-functional with data, IT, governance, legal and business

  • Take a leading role in shaping the culture of data science community in CSAA

  • Master-level data science industry knowledge and knowledge of the insurance marketplace

  • Strong communication skills to explain model insights to technical partners, business partners and corporate leaders

  • Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars

Education

Required

  • Bachelor's degree in STEM or Bachelor's degree with an equivalent combination of relevant education

Preferred:

  • Master's degree

  • CPCU, ACAS or FCAS

Experience

Required:

  • Requires 10 years related professional experience with transferrable skills

  • 7 years of post-bachelor experience developing statistical, ML, GenAI and LLM Models

  • Lead cross-functional MLOps projects in insurance or financial services

  • Experience with developing GenAI models with unstructured data

  • Experience with fostering the culture of data scientist community

Preferred

  • Extensive knowledge in various insurance operations: pricing, product, claims, marketing and underwriting

  • Experience shaping GenAI adoption across company

  • Track record of thought leadership in GenAI, including publishing, speaking at conferences, or contributing to industry collaborations

  • Familiarity with responsible AI frameworks and ability to influence internal processes and standards related to GenAI adoption

The national average salary range for this position is $160,155.00-$177,950.00. However, we have a location-based compensation structure. Our salary ranges vary and are calculated based on work location. The starting pay range for this position across all the states we hire in is $160,155.00-$213,550.00. This role also includes an opportunity for a company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 15% of eligible pay.This job posting will be unposted on Sat, 15 Aug 2026.