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Formula 1 Data Science Jobs in Illinois (NOW HIRING)

Why this fellowship Summary In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will be responsible for data science projects across ...

... Science specialization or a closely related field plus eight years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Data Analytics using SQL: Experience ...

The team is responsible for protecting existing global data science environments, modernizing data science by onboarding practitioners to One True and cloud-based tooling, and continuously enhancing ...

Architect, Data Science

Chicago, IL · On-site

$155 - $190/hr

As part of our growing Data Science practice, this role offers an exciting opportunity to lead ... A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and The base ...

Of experience required, must have 1 year: * applying R & Python programming concepts & techniques ... providing data science analysis support for Phase I, II, & III clinical trials; * generating ...

Senior Manager, Data Science

Chicago, IL · On-site

$142 - $209/hr

Of experience required, must have 1 year: * applying R & Python programmingconcepts & techniques ... providing data science analysis support for Phase I, II, & III clinical trials; * generating ...

Of experience required, must have 1 year: * applying R & Python programming concepts & techniques ... providing data science analysis support for Phase I, II, & III clinical trials; * generating ...

... one of the nation's leading specialized insurers. Our success is a direct reflection of the ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

... one of the nation's leading specialized insurers. Our success is a direct reflection of the ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

At Numerator, understanding consumers begins with one of the industry's richest and most ... As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ...

At Numerator, understanding consumers begins with one of the industry's richest and most ... As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ...

Showing results 21-40

Formula 1 Data Science information

What is a Formula 1 data science job?

A Formula 1 Data Science job involves analyzing vast amounts of real-time and historical race data to optimize car performance, strategy, and decision-making. Data scientists in F1 work with telemetry, tire performance, weather conditions, and competitor data to provide insights that improve race outcomes. They use machine learning, statistical modeling, and data visualization to support engineers, strategists, and drivers. The role requires expertise in programming (Python, MATLAB), data analytics, and a deep understanding of motorsport dynamics.

What are the typical responsibilities and challenges faced by Formula 1 data science professionals on a race weekend?

During a race weekend, Formula 1 Data Science professionals are responsible for analyzing large volumes of telemetry and performance data to guide engineering decisions, enhance car performance, and inform strategy. They often work in fast-paced, high-stakes environments, collaborating with engineers, strategists, and drivers to provide real-time insights while adapting to rapidly changing conditions. One of the main challenges is delivering accurate, actionable analysis under tight time constraints and managing large, complex datasets. This role demands not only technical excellence but also the ability to communicate findings clearly to non-technical team members to drive effective decision-making.

What are the key skills and qualifications needed to thrive in the Formula 1 data science position, and why are they important?

To thrive as a Formula 1 Data Science professional, you need strong analytical skills, expertise in statistical modeling, machine learning, and a background in data science, mathematics, or engineering. Familiarity with tools such as Python, MATLAB, R, and data acquisition systems, as well as experience with telemetry and real-time analytics, is highly valuable. Excellent problem-solving, teamwork, and communication skills are crucial for collaborating closely with engineers, drivers, and other stakeholders in a high-pressure environment. These skills enable you to extract actionable insights from complex data, ultimately aiding team performance and competitiveness on the track.

Can a data scientist work in Formula 1?

Yes, data scientists can work in Formula 1 by analyzing large datasets related to vehicle performance, race strategies, and telemetry. They often use tools like Python, R, and machine learning techniques to optimize car performance and decision-making processes within racing teams.

How much do Formula 1 data scientists make?

Formula 1 data scientists typically earn between $70,000 and $150,000 annually, depending on experience, education, and the team or organization. Senior roles or those with specialized skills in machine learning and real-time data analysis can command higher salaries, often exceeding $200,000.

Is it hard to get a job in Formula 1 Data Science?

Securing a role in Formula 1 Data Science can be competitive due to the specialized skills required, such as expertise in data analysis, machine learning, and experience with tools like Python or R. Candidates often need a strong background in engineering, physics, or related fields, along with relevant experience or internships in motorsport or high-performance environments.

What job categories do people searching Formula 1 Data Science jobs in Illinois look for?

The top searched job categories for Formula 1 Data Science jobs in Illinois are:

Infographic showing various Formula 1 Data Science job openings in Illinois as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

$51K - $87K/yr

Full-time

Re-posted 8 hours ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Applications submitted without a personal statement will not be considered. Please upload a single combined PDF containing both your resume and personal statement in the Resume/CV section of the application in the following order:

1) Resume

2) Personal statement (View details below)

Required application materials:

1) Resume

2) Personal statement (1,000 words max)

  • Why Vizient

  • Why this fellowship

Summary

In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Responsibilities

  • Work with internal data science teams on assigned projects.

  • Develop data science approaches, including machine learning models, improve understanding and predict health care outcomes, conduct data management and other assigned tasks.

  • Collaborate with internal Vizient staff and leaders, and external stakeholders including Vizient clients, vendors, and other third parties.

  • Conduct self-directed research into healthcare data topics.

  • Participate in client-facing meetings and 'voice-of-customer's work to gain understanding of Vizient business needs.

  • Participation in cross-functional project assignments and present a capstone project or summary of projects to peers and mentors at the end of the Fellowship.

Qualifications

  • Relevant degree preferred: Master's degree in data science, statistics, medical/health informatics, or related field desired.

  • No previous work experience is required.

  • Demonstrated technical skills, including strong proficiency with programming languages such as Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

  • Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are required.

  • Strong familiarity and practical experience with Generative AI models (Large Language Models, Agentic Workflows, and other frameworks) is preferred.

  • Solid understanding of machine learning operations is preferred.

  • Experience working with health care data (EHR/EMR data, medical terminologies, etc.) is strongly preferred.

  • Strong communication and project management skills are preferred.

Application requirements:

1) Resume

2) Personal statement (1,000 words max)

  • Why Vizient

  • Why this fellowship

    Estimated Hiring Range:

    At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $51,900.00 to $87,900.00.

    This position is also incentive eligible.

    Vizient has a comprehensive benefits plan! Please view our benefits here:

    http://www.vizientinc.com/about-us/careers

    Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

    The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.