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F1 Data Science Jobs (NOW HIRING)

Data Science Associate

Des Moines, IA

$57K - $58K/yr

Specific exposure with hands-on data analysis of databases and files using SQL dialects and ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs ...

Specific exposure with hands-on data analysis of databases and files using SQL dialects and ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs ...

Integrated within the data science team, the intern data scientist will work on data projects ... Open to J1/F1 sponsorship To enhance your recruitment prospects and prepare for potential ...

This role focuses on applied data science at enterprise scale, including model development ... recall, F1 score, and related performance metrics) * Proven experience implementing MLOps ...

Quantify model performance (precision/recall, F1, ROC/AUC, calibration) and write clear reports ... Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to ...

Bridge Analytics and Science by combining robust data analysis with model development to create ... F1 scores, as well as experience with A/B testing and model validation. At Walmart, we offer ...

Data Science and Data Engineering Job Qualifications: Skills: AI Frameworks, Applied Problem ... F1, RMSE, AUC-ROC) to ensure production-quality model performance * Fine-tune and adapt open-source ...

... data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.Provide some ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope. • Provide some ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope. • Provide some ...

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F1 Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do f1 data science jobs pay per year?

As of Jun 27, 2026, the average yearly pay for f1 data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 machine learning, using tools like Python, R, and SQL to support race performance improvements.

How much do F1 data scientists make?

F1 data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the team they work for. Senior roles or those with specialized skills in data analysis, machine learning, and programming may earn higher salaries. Compensation can also include bonuses and benefits related to the high-performance environment of motorsport teams.

What is F1 data science?

F1 data science involves analyzing and interpreting data related to Formula 1 racing to improve team performance, strategy, and vehicle design. Data scientists in this field use tools like Python, R, and SQL to process telemetry, race, and sensor data, often working under tight deadlines during race weekends.

How much does an F1 data analyst make?

F1 data analysts typically earn between $60,000 and $100,000 annually, depending on experience, location, and the team they work for. They often use tools like Python, R, and SQL and require strong analytical skills and knowledge of motorsport data. Salaries can vary based on the level of expertise and the complexity of data analysis involved.

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.

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.

More about F1 Data Science jobs
What cities are hiring for F1 Data Science jobs? Cities with the most F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most F1 Data Science jobs? States with the most job openings for F1 Data Science jobs include:
Infographic showing various F1 Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, and 22% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Associate

$57K - $58K/yr

Full-time

Posted 24 days ago


Job description

Company Description

Why Wellmark? 

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we've built our reputation on over 80 years' worth of trust. We are not motivated by profits. We are motivated by the well-being of our friends, family, and neighbors-our members. If you're passionate about joining an organization working hard to put its members first, to provide best-in-class service, and one that is committed to sustainability and innovation, consider applying today! 

Learn more about our unique benefit offerings here. 

Want to know more? You can learn about life at Wellmark here.

Job Description

Responsible for extracting, integrating analyzing, and interpreting data from internal and external data sources, to develop intelligence packaging that draws conclusions and supports recommendations that will help to achieve business goals. Collaborate with team  and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains. Work cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions.

Qualifications

Required: 

  • For consideration, you must meet one of the following educational/technical requirements:
  • Bachelor's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
  • Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation. Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
  • Strong formulas and data visualizations knowledge.
  • Exposure to business intelligence or analysis platforms.
  • Naturally curious and ability to drive business decisions and solutions.
  • Effective communication skills, both verbal and written, with the ability to present complex information.
  • Proactive, self-starter and can manage priorities through effective time management skills.

Preferred:

  • Master's degree.
  • Experience working with unstructured data sets.
  • Experience developing project roadmaps and timelines.
Additional Information

Job Responsibilities 

a. Participate in or conduct discovery sessions and stakeholder interactions to gain business understanding and identify business problem. Understand the project objectives and gather requirements to build a preliminary plan.

b. Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data needs for the business.

c. Profile and prepare data for analysis.

d. Build and execute models to analyze business outcomes, using tables, graphs, and charts, as well as algorithms, forecasts, and trends.

e. Interpret results, identify key findings to quantify business value.

f. Develop a narrative to summarize and convey findings to stakeholders. Make recommendations based on findings.

g. Create, update, and maintain a production schedule for reporting and ensure reports and presentations are completed on schedule.

h. Manage multiple projects simultaneously and support corporate process improvement initiatives, meeting aggressive timeframes.

i. Collaborate with peers to identify reporting objectives and develop reports and analyses that meet their need and drive Wellmark's value proposition for stakeholders.

j. Wrangle data from a wide variety of data sets and assemble into normalized and enriched data assets that enables new insights, solutions, and visualizations. Perform and document data profiling, quality assessment, source consolidation, aggregation, and other data manipulation efforts, to understand data formats, source systems, file sizes, etc.

k. Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.

l. Other duties as assigned.

An Equal Opportunity Employer

The policy of Wellmark Blue Cross Blue Shield is to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact us at [email protected]

Please inform us if you meet the definition of a "Covered DoD official".

At this time, Wellmark is not considering applicants for this position that require any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please refer to the following resources:Nonimmigrant Workers and Green Card for Employment-Based Immigrants 

Wellmark supports and expects the responsible use of AI for our workforce! We welcome the responsible use of these tools by job seekers as well and are interested in learning from you; you will have an opportunity in the application process to share which tools you used and how you applied them.