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Summer Formula 1 Data Science Jobs (NOW HIRING)

NOV, Inc.

Senior Data Scientist

Houston, TX

Lead data science initiatives that impact operations globally across multiple business units ... Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Lead data science initiatives that impact operations globally across multiple business units ... Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Superhuman

Director, Data Science

New York, NY · On-site

$302K - $454K/yr

The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 ... The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ...

FedEx Dataworks

Data Scientist Principal

Memphis, TN · On-site

Lead and own high-impact data science initiatives within the DW 2.0 data monetization scope and ... Experience with at least one data visualization tool or package (e.g., Tableau, Power BI, Spotfire ...

4P Consulting Inc.

Data Scientist 2 4P/187

Atlanta, GA · On-site

Key Responsibilities: 1. Data Analysis: * Collect, clean, and analyze complex datasets to uncover ... Stay updated on the latest data science tools, trends, and best practices through professional ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an ...

Clevanoo LLC

Be Seen First

Data Science

Detroit, MI · On-site

$45 - $47/hr

One other general observation and feedback, I interviewed many candidates for these two earlier ... data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical ...

New

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

Architecting and integrating complex novel data science algorithms into the fabric of these end ... 1. Python and SQL programming for data extraction, analysis, or integration. 2. Using cloud ...

Sia

Data Science Consultant

San Francisco, CA

Qualifications * 1+ years' experience as a Data Scientist or Data Analyst * Experience with building models, machine-learning, NLP * 1+ years' experience in R, SQL and Python * 1+ years' experience ...

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All JobsSummer Formula 1 Data Science Jobs

Summer Formula 1 Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do summer formula 1 data science jobs pay per year?

As of Jun 18, 2026, the average yearly pay for summer formula 1 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 strategies and car setups. F1 teams often seek data scientists skilled in statistical analysis, machine learning, and programming tools like Python or R to improve race outcomes and engineering decisions.

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 have skills in data analysis, programming, and motorsport knowledge, with some roles offering additional performance-based bonuses.

What are the key skills and qualifications needed to thrive as a Summer Formula 1 Data Science professional, and why are they important?

To thrive as a Summer Formula 1 Data Science professional, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a relevant degree in data science, engineering, or mathematics. Experience with data visualization tools, telemetry analysis software, and familiarity with machine learning frameworks are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart in this role. These skills are essential for extracting actionable insights from large datasets, optimizing race strategies, and supporting performance improvements in the fast-paced F1 environment.

What is the difference between Summer Formula 1 Data Science vs Summer Motorsport Data Analyst?

AspectSummer Formula 1 Data ScienceSummer Motorsport Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fields; knowledge of motorsport analyticsDegree in Data Analysis, Statistics, or related fields; familiarity with motorsport data
Work EnvironmentF1 teams, race weekends, high-pressure environmentMotorsport teams, event analysis, collaborative setting
Industry UsagePrimarily in Formula 1 racingBroader motorsport sectors including NASCAR, WRC, etc.
Common Search/ComparisonYesYes

While both roles involve analyzing motorsport data, Summer Formula 1 Data Science focuses specifically on F1 racing analytics, leveraging advanced data science techniques in a high-stakes environment. Summer Motorsport Data Analysts work across various motorsport disciplines, applying similar skills but with a broader industry scope.

What is a Summer Formula 1 Data Science job?

A Summer Formula 1 Data Science job is a seasonal internship or temporary position where you work with data related to Formula 1 racing. In this role, you analyze large sets of race data, develop predictive models, and support engineers and teams in making strategic decisions. Tasks might include optimizing car performance, evaluating race strategies, or interpreting telemetry data. It's a great opportunity for students or early-career professionals interested in both data science and motorsport to gain hands-on experience.

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 machine learning and real-time data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits related to performance and project success.

Do Formula 1 teams do summer internships?

Yes, many Formula 1 teams offer summer internships in data science, engineering, and technical roles to provide students with practical experience in motorsport environments. These internships typically last several weeks during the summer and often require relevant skills in programming, data analysis, and knowledge of motorsport technology.

What are the typical projects and responsibilities for a Summer Formula 1 Data Science intern?

As a Summer Formula 1 Data Science intern, you can expect to work on projects such as analyzing race and telemetry data, developing predictive models for performance optimization, and supporting real-time decision-making during race weekends. You may collaborate closely with engineers, strategists, and other data professionals to extract actionable insights from large datasets. Daily tasks often include data cleaning, exploratory analysis, and presenting findings to both technical and non-technical team members. This role provides hands-on experience with cutting-edge analytics tools in a fast-paced, team-oriented environment.
What cities are hiring for Summer Formula 1 Data Science jobs? Cities with the most Summer Formula 1 Data Science job openings:
What are the most commonly searched types of Formula 1 Data Science jobs? The most popular types of Formula 1 Data Science jobs are:
What states have the most Summer Formula 1 Data Science jobs? States with the most job openings for Summer Formula 1 Data Science jobs include:
Summer Formula 1 Data Science jobs near you
Senior Data Scientist

Senior Data Scientist

National Oilwell Varco

Houston, TX

Full-time

Posted 10 days ago

NOV rating

7.9

Company rating: 7.9 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

158th of 418 rated machine equipment manufacturers

Job description

Reports to: VP Data & Analytics

  As a Senior Data Scientist, you will:

  • Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
  • Develop a firm understanding of specific business processes and real-world workflows
  • Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
  • Lead data science initiatives that impact operations globally across multiple business units
  • Define project scope, timelines and deliverables in collaboration with business leaders
  • Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
  • Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
  • Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
  • Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
  • Manage and mentor interns, junior data scientists and analysts
  • Translate advanced analytics results into strategic recommendations for VP and C-level leadership
  • Utilize programming languages such as SQL, Python for data manipulation, analysis and model development

 SUGGESTED QUALIFICATIONS

  • Master's degree in a quantitative discipline
  • Five or more years of professional data science experience in manufacturing and/or supply chain environments
  • Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
  • Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
  • Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
  • Deep expertise in machine learning, forecasting and optimization
  • Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
  • Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
  • Knowledge of Streamlit for building interactive data applications preferred
  • Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
  • Demonstrated ability to drive business impact and ROI through analytics
  • Strong track record of executive-level communication and influence
  • Experience leading cross-functional teams across multiple geographies

What NOV employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About NOV

Sourced by ZipRecruiter

Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment and operational support necessary for success. We have the people, capabilities and vision to serve the needs of a challenging and evolving industry. One the world can’t live without. We are a global family of thousands of individuals, working as one team to create lasting impact for ourselves, our customers and the communities where we live and work. We take responsibility for each other and our company’s future, knowing that personal ownership leads to broader success. We believe in purposeful innovation because we see what others do not and we act. Through business innovation, product creation and service delivery, we are driven to power the industry that powers the world better.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1841

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