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F1 Data Science Jobs in Seattle, WA (NOW HIRING)

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F1 Data Science information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do f1 data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for f1 data science in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 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 popular job titles related to F1 Data Science jobs in Seattle, WA? For F1 Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching F1 Data Science jobs in Seattle, WA look for? The top searched job categories for F1 Data Science jobs in Seattle, WA are:
F1 Data Science jobs near you
Infographic showing various F1 Data Science job openings in Seattle, WA 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 $139,680 per year, or $67.2 per hour.

Junior java developer spring boot /Data scientist/AI/ML

SynergisticIT

Seattle, WA • On-site

$76K - $99K/yr

Other

Posted 3 days ago

New

Job description

Your Tech Skills Are Still Relevant — Let’s Prove It ! Let’s Get you Hired with a Process Many job seekers assume their skills have expired simply because they’ve been out of the workforce or recently laid off. But the truth is, your foundation is still valuable — it just needs sharpening. SynergisticIT helps you refresh your technical abilities through hands‑on tech stack updation, real‑world projects, and updated tools that match today’s hiring standards. You’ll also receive interview preparation and direct marketing to Fortune 500 clients, giving you visibility that most job seekers never get. Your skills aren’t outdated — they’re underutilized. Synergisticit helps you bring them back to life and into the job market with confidence. Re‑entering the tech industry can feel overwhelming, especially after a layoff or career gap. But you don’t have to do it alone. SynergisticIT gives you a fast, structured path back into the field. If you’ve been unemployed for 3–6+ months—or longer—you’ve probably seen how quickly the market can change. A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don’t define ability. They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more—often with offers between $90,000 and $154,000 depending on role and expertise. Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically. Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Why programs don’t fix gaps Many candidates with gaps try “one more course,” but that rarely changes outcomes. Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers). Want to see credibility and event participation? 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/ A gap isn’t the end of your career. It’s a chapter—and you can write the next one strategically. 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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