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F1 Data Science Jobs in Detroit, MI (NOW HIRING)

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F1 Data Science information

See Detroit, MI salary details

$37.1K

$121.5K

$194.5K

How much do f1 data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for f1 data science in Detroit, MI is $121,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What is an F1 Data Science?

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 does an F1 Data Science do?

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.

What skills and qualifications are needed for an F1 Data Science?

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.

Can a data scientist work in F1?

Yes, a data scientist can work in Formula 1 by analyzing race data, vehicle telemetry, and performance metrics to optimize car setup and strategy. F1 teams often seek data scientists skilled in statistical analysis, programming, and tools like Python, R, and SQL to support decision-making and performance improvements.

What are popular job titles related to F1 Data Science jobs in Detroit, MI?

For F1 Data Science jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching F1 Data Science jobs in Detroit, MI look for?

The top searched job categories for F1 Data Science jobs in Detroit, MI are:

F1 Data Science jobs near you
Infographic showing various F1 Data Science job openings in Detroit, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,507 per year, or $58.4 per hour.

Software Engineering Manager-GM Motorsports at General Motors Milford, MI

Milford, MI • On-site

kozmetickesluzby.vecnakraska.sk - Jobboard
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$120 - $150/hr

Other

Posted 25 days ago

Job description

Job Description

Software Engineering Manager – GM Motorsports. Milford, MI.

The Role

GM Motorsports is seeking a dynamic and technically proficient Manager of Software Engineering to lead initiatives in Applied Data Engineering and Strategy. This role will drive the development and integration of advanced data platforms, strategy tools, and AI/ML solutions across motorsports programs including NASCAR, IndyCar, LMDh, and F1.

The ideal candidate will combine deep technical expertise with strategic vision and leadership to deliver high‑impact software solutions that enhance vehicle performance, race strategy, and operational excellence.

Responsibilities
  • Lead the design and implementation of scalable software solutions, including data lakehouses, simulation platforms, and telemetry pipelines.
  • Drive the implementation of the strategic roadmap for motorsports software, aligning with enterprise goals and racing program needs.
  • Oversee the tech transfer of engineering innovations from motorsports to GM production environments.
Team Management & Development
  • Manage a cross-functional software engineering team, fostering a culture of innovation, accountability, and continuous improvement.
  • Implement agile practices including sprint planning, backlog grooming, and story point estimation.
  • Mentor engineers and promote adoption of software development best practices across teams.
Stakeholder Engagement
  • Collaborate with race engineers, product owners, and IT leadership to define requirements and deliver solutions.
  • Communicate technical progress and strategic vision effectively to both technical and non‑technical stakeholders.
  • Build strong relationships across GMMS IT, Engineering, and external racing teams.
Required Qualifications
  • Bachelor's degree (or higher) in Computer Science, Data Engineering, or related field.
  • 8+ years of experience in software engineering, with 2+ years in a leadership role.
  • Proven expertise in software engineering technologies such as Java, C#, Python, and cloud platforms.
  • Strong understanding of agile methodologies and product lifecycle management.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience with motorsports software tools and race strategy analytics.
GM Behaviors Expected
  • Own the Outcome: Takes accountability for team results and drives strategic execution.
  • Lead as One Team: Builds inclusive, collaborative environments across functions.
  • Innovate & Embrace Change: Champions new technologies and process improvements.
  • Speak Fearlessly: Communicates with clarity and candor, especially in high‑stakes settings.
  • Move with Urgency: Acts swiftly and decisively to deliver high‑impact solutions.
Location & Travel

This role is categorized as hybrid. The selected candidate is expected to report to a specific location at least 3 times a week or as directed by manager.

The selected candidate will be required to travel <25% for this role.

This job may be eligible for relocation benefits.

Visa & Immigration

GM does not provide immigration‑related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future.

Equal Employment Opportunity

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email Careers.Accommodations@GM.com or call 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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