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F1 Data Science Jobs in Virginia (NOW HIRING)

Education Bachelor's degree in Business, Information Systems, Data Science, or related field ... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ...

Establish rigorous evaluation: precision/recall, F1, ROC/PR AUC, calibration, confusion analysis ... A bachelor's degree in computer science, electrical engineering, physics, or related field is ...

... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ...

... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ...

... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ... data scientists, and designers in order to come up with solutions Additional qualifications that ...

... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ... data scientists, and designers in order to come up with solutions Additional qualifications that ...

... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ... data scientists, and designers in order to come up with solutions Additional qualifications that ...

This includes, but is not limited to F1-OPT, F1-CPT, H-1B, TN, L-1, J-1. This position is located ... Training and/or Education: BS in Computer Science, Management Information Systems, Information ...

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Showing results 1-20

F1 Data Science information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do f1 data science jobs pay per year?

As of Jul 25, 2026, the average yearly pay for f1 data science in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 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 the most commonly searched types of F1 Data Science jobs in Virginia? The most popular types of F1 Data Science jobs in Virginia are:
What job categories do people searching F1 Data Science jobs in Virginia look for? The top searched job categories for F1 Data Science jobs in Virginia are:
Infographic showing various F1 Data Science job openings in Virginia 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 $121,686 per year, or $58.5 per hour.
Product Strategy Analyst, Data & Analytics

Product Strategy Analyst, Data & Analytics

McKesson

Richmond, VA • On-site, Remote

Full-time

Posted 10 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

41st of 74 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

About the Role

McKesson Medical-Surgical is seeking a Product Strategy Analyst to support the development, optimization, and lifecycle management of data, analytics, automation, and AI-enabled products. In this role, you will help identify opportunities to create business value through data products, drive stakeholder engagement, evaluate product performance, and support product strategy initiatives from concept through adoption.

Reporting to the Director, Technical Product Management, you will partner with business leaders, analytics teams, data engineers, architects, data scientists, and technology stakeholders to deliver scalable solutions that improve decision-making and operational outcomes. This is a unique opportunity to help shape the future of data products and analytics innovation within a leading healthcare organization.

What You'll Do

  • Partner with business stakeholders to identify opportunities for data, analytics, automation, and AI solutions.
  • Contribute to business case development, product valuation, and prioritization efforts using value-versus-effort assessments.
  • Support the development and execution of data product roadmaps aligned with business objectives and enterprise analytics strategy.
  • Manage and improve data products throughout the product lifecycle, including ideation, planning, development, launch, adoption, optimization, and retirement.
  • Collaborate with data engineers, data architects, developers, data scientists, and technology partners to support delivery of proof-of-concepts (POCs), pilot programs, and minimum viable products (MVPs).
  • Define and track product success metrics, KPIs, adoption measures, and business outcomes.
  • Analyze product performance and user feedback to identify enhancement opportunities and drive continuous improvement.
  • Support stakeholder communications, change management activities, training initiatives, and adoption strategies.
  • Promote scalable analytics solutions and data literacy across the organization.
  • Monitor industry trends, emerging technologies, artificial intelligence capabilities, and data analytics best practices to identify innovation opportunities.
  • Serve as a trusted resource on data products, analytics capabilities, and business value realization.

Basic Requirements

  • Bachelor's degree or equivalent experience.
  • Typically requires 4+ years of relevant professional experience in product management, product strategy, business analytics, data analytics, technical product management, business intelligence, or related fields.
  • Experience working with cross-functional teams to deliver data, analytics, technology, or business process solutions.
  • Experience analyzing business requirements, identifying opportunities, and translating stakeholder needs into actionable product initiatives.
  • Experience using data and metrics to evaluate product performance and business outcomes.

Preferred Skills/Experience

  • Familiarity with artificial intelligence (AI), machine learning, generative AI, large language models (LLMs), and data science concepts.
  • Experience in healthcare distribution, healthcare supply chain, manufacturing, or related industries preferred.

Travel, Location & Physical Requirements

  • Candidate should be located in or near Richmond, Virginia.
  • Occasional travel may be required based on business needs.
  • General office environment with the ability to work on a computer for extended periods.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$92,600 - $154,400

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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