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F1 Data Science Jobs in Indiana (NOW HIRING)

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F1 Data Science information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do f1 data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for f1 data science in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 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 Indiana? The most popular types of F1 Data Science jobs in Indiana are:
What are popular job titles related to F1 Data Science jobs in Indiana? For F1 Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching F1 Data Science jobs in Indiana look for? The top searched job categories for F1 Data Science jobs in Indiana are:
F1 Data Science jobs near you
Infographic showing various F1 Data Science job openings in Indiana 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 $116,793 per year, or $56.2 per hour.

Data Scientist/ML/AI Engineer - Junior (Remote)

SynergisticIT

West Lafayette, IN • On-site

Other

Posted 3 days ago

New

Job description

Don’t Let the Job Market Intimidate You ! Let’s get You Interviews and Offers with a Process! The tech job market can feel overwhelming, especially with layoffs and increased competition. But you don’t have to navigate it alone. SynergisticIT gives you the toolsand support needed to stand out. You’ll work on real projects, master in‑demand technologies, and receive interview preparation that boosts your confidence. Also get your profile directly to Fortune 500 companies, ensuring your skills reach real hiring managers. Instead of feeling intimidated, you’ll feel empowered. The job market isn’t impossible — you just need the right strategy, and Synergisticit provides exactly that. A degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It’s also one of the most fixable—because interview performance is rarely about intelligence. It’s usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don’t learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it’s one (or several) of these gaps: Weak fundamentals (you know syntax, but not the “why”) Poor project explanation (you built something, but can’t defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport. You don’t just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can’t convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs If you’re already getting interviews, you’re closer than you think. Now it’s time to train like you mean it—and turn interviews into offers. If you want to explore, here are the key links: please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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