... Data Science / Machine Learning / AI--because companies hire teams, not single-skill candidates ... F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance ...
... Data Science / Machine Learning / AI--because companies hire teams, not single-skill candidates ... F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance ...
F1 Data Science information
See Indiana salary details
$35.7K - $49.4K
2% of jobs
$49.4K - $63.2K
3% of jobs
$63.2K - $76.9K
6% of jobs
$76.9K - $90.7K
9% of jobs
$95.1K is the 25th percentile. Wages below this are outliers.
$90.7K - $104.5K
15% of jobs
The median wage is $113.6K / yr.
$104.5K - $118.2K
22% of jobs
$125.8K is the 75th percentile. Wages above this are outliers.
$118.2K - $132K
32% of jobs
$132K - $145.7K
3% of jobs
$145.7K - $159.5K
4% of jobs
$159.5K - $173.2K
1% of jobs
$173.2K - $187K
2% of jobs
$35.7K
$116.8K
$187K
How much do f1 data science jobs pay per year?
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?
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:

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Posted 23 days ago