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F1 Data Science Jobs in Minnesota (NOW HIRING)

Mayo Clinic

Director - AI Digital Pathology

Rochester, MN · Hybrid

$204K - $306K/yr

Directing a multidisciplinary team of AI/ML engineers, software developers, and research scientists ... Partner with clinical, operational, technical, legal, compliance, and data leaders to advance AI ...

All JobsF1 Data Science JobsF1 Data Science Jobs in Minnesota

F1 Data Science information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do f1 data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for f1 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.

Can a data scientist work in F1?

Yes, data scientists can work in Formula 1 by analyzing race data, vehicle telemetry, and performance metrics to optimize car setup and strategy. They often use tools like Python, R, and SQL, and need a strong background in statistics, machine learning, and motorsport knowledge. These roles typically require collaboration with engineers and teams during race seasons and testing periods.

How much do F1 data scientists make?

F1 data scientists typically earn between $70,000 and $120,000 annually, depending on experience, location, and the complexity of the role. Senior professionals with specialized skills in data analysis, machine learning, and motorsport data may earn higher salaries, often supplemented by performance bonuses and benefits.

What are some common daily responsibilities for an F1 Data Science professional?

As an F1 Data Science professional, your daily tasks typically include analyzing real-time and historical race data to inform car performance optimization and race strategies. You’ll work closely with engineers, strategists, and drivers to interpret data from sensors and telemetry, build predictive models, and communicate findings to support decision-making. The role often involves developing and maintaining data processing pipelines as well as creating informative visualizations for both technical and non-technical stakeholders. Collaboration is key, as you’ll be part of a multidisciplinary team working together under tight deadlines during race events and testing sessions. This dynamic environment offers exciting opportunities to directly impact race outcomes through your data-driven insights.

How much do F1 data analysts make?

F1 data analysts typically earn between $60,000 and $120,000 annually, depending on experience, location, and the level of expertise in data analysis tools like Python or R. Entry-level analysts may start at lower salaries, while experienced professionals with specialized skills can earn higher compensation in the motorsport industry.

How to get into F1 as a data analyst?

To become an F1 data analyst, candidates typically need a strong background in data science, statistics, or engineering, along with experience in motorsport or high-performance environments. Proficiency in programming languages like Python or R, knowledge of telemetry data, and familiarity with data visualization tools are essential. Gaining relevant internships or roles in motorsport teams or related industries can improve chances of entering F1 as a data analyst.

What are the key skills and qualifications needed to thrive in the F1 Data Science position, and why are they important?

To thrive in an F1 Data Science role, you need a strong background in statistics, data analysis, programming (e.g., Python, R), and a solid understanding of motorsport engineering concepts, typically supported by a relevant degree in data science, engineering, or physics. Proficiency in data visualization tools, machine learning libraries, and race telemetry analysis systems is highly valued. Strong problem-solving ability, attention to detail, and clear communication are essential soft skills, as is a collaborative mindset for working closely with engineers and race strategists. These abilities are important for extracting actionable insights from complex data, optimizing car and team performance, and delivering results in the high-pressure, fast-paced environment of Formula 1.

What is an F1 Data Science job?

An F1 Data Science job involves analyzing vast amounts of racing data to optimize car performance, race strategy, and driver decision-making. Data scientists in Formula 1 work with telemetry, simulations, and real-time data to extract insights that improve speed, reliability, and efficiency. They use machine learning, statistical modeling, and engineering principles to enhance car aerodynamics, tire management, and fuel strategy. This role requires a strong background in data analytics, programming (Python, MATLAB, SQL), and a deep understanding of motorsport dynamics.

What are the most commonly searched types of F1 Data Science jobs in Minnesota? The most popular types of F1 Data Science jobs in Minnesota are:
What are popular job titles related to F1 Data Science jobs in Minnesota? For F1 Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching F1 Data Science jobs in Minnesota look for? The top searched job categories for F1 Data Science jobs in Minnesota are:
F1 Data Science jobs near you
Infographic showing various F1 Data Science job openings in Minnesota as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $120,211 per year, or $57.8 per hour.
Information Security Engineer - IS Mod

Information Security Engineer - IS Mod

Mayo Clinic

Rochester, MN • Hybrid

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 691 frontline employees who took The Breakroom Quiz

103rd of 890 rated healthcare providers

Job description

The Information Security Detection Engineer is responsible for the operational health, data quality, and detection effectiveness of Exabeam, a critical security analytics and UEBA platform. This role combines detection engineering, data engineering, and platform support responsibilities to ensure reliable security analytics, high-fidelity detection content, and effective integration with Google SecOps and other enterprise security technologies.

Key Responsibilities
    Develop, tune, and maintain custom detection content within Exabeam.
    Manage the onboarding, validation, and optimization of log sources and enrichment data supporting Exabeam analytics.
    Monitor and maintain the operational health, performance, and stability of Exabeam, including data ingestion pipelines and parser functionality.
    Coordinate with Exabeam to troubleshoot platform, data, integration, and content-related issues.
    Develop and maintain parsers, data transformations, and normalization processes required to support accurate analytics and investigations.
    Perform capacity planning and utilization management to support platform growth and licensing constraints.
    Collaborate with CSOC, Threat Intelligence, Insider Risk, and other stakeholders to operationalize detection use cases and continuously improve Mayo Clinic's threat detection and security monitoring capabilities.
This is a hybrid position and incumbent must live within 100 miles of a Mayo Clinic campus.  Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.
 

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Bachelor's degree and four (4) years experience in the information security field required, OR Associates degree and 6 years' experience in the information security field. Pertinent fields of study include Computer Science, Information Systems, Engineering or related field.

Master's Degree in applicable field and two (2) years experience preferred.  Pertinent fields of study include Computer Science, Information Systems, Engineering or related field.

One or more of the following certifications (or equivalent) are required at time of hire or must be obtained within two years of hire: CISSP, CISM, GSEC, OSCP.

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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