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Summer Formula 1 Data Science Jobs (NOW HIRING)

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 ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

$110 - $170/hr

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 ...

PlanIT Group, LLC

Data Scientist

Raleigh, NC · On-site

... Task #1: Data Analysis and Visualization Development • Deliverables will be tailored to each ... Data science, statistics, or experimental psych. • Good communication skills. • Proven ability ...

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 ...

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 ...

C3 AI

Data Science - Intern (Summer 2027)

Redwood City, CA · On-site

$8.0K - $10K/mo

C3 AI C3 AI is seeking Data Scientist interns to join us during our Summer 2027 internship program. As a member of the C3 AI Data Science team, you will work with some of the largest companies on the ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

Redhorse Corporation

Lead Data Scientist

Arlington, VA · On-site

Responsibilities : • Manage a Data Science delivery team of one data scientist and two data analysts performing work on the government-provided PANDA platform. • Delivery Teams will each be ...

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Summer Formula 1 Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Sep 5, 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.

What is a Summer Formula 1 Data Science?

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.

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 are the key skills and qualifications needed to thrive as a Summer Formula 1 Data Science professional?

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.

How much do summer Formula 1 data scientists make?

Summer Formula 1 data scientists typically earn between $15 and $30 per hour, depending on experience and the team's budget. Internships or temporary roles may also include stipends or stipends plus hourly wages, often requiring skills in data analysis, programming, and familiarity with motorsport data tools.

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

Data Science

Adidev Technologies Inc

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
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 candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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