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Formula 1 Data Science Jobs in California (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 · 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 ...

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... The work they are doing is a data conversion project where one team is building a new financial ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: * Lead, support, and grow a team of data scientists and data science ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

We are tackling one of the world's most important infrastructure challenges: helping the energy ... Data Scientists work across the organization to help shape our business and technical strategies by ...

Tapestry

Data Science Manager

Mountain View, CA

We are tackling one of the world's most important infrastructure challenges: helping the energy ... Data Scientists work across the organization to help shape our business and technical strategies by ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning ... You may have the flexibility to work from home one or more days per week. These positions will be ...

CookUnity

Director, Data Science/ML

Los Angeles, CA

If that mission has you hungry in more ways than one, you've found the right job posting. The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product ...

LLNL

Data Science Engineer

Livermore, CA

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning ... You may have the flexibility to work from home one or more days per week. These positions will be ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for a Data Science Engineer with a background in applied machine learning ... You may have the flexibility to work from home one or more days per week. These positions will be ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

You may have the flexibility to work from home one or more days per week. You will * Under the guidance of senior team members, apply machine learning and data science algorithms to help analyze ...

Clay Labs

Data Scientist

San Francisco, CA · On-site

$170K - $300K/yr

We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers ... What You'll Bring 5+ years in data science, with demonstrated ownership of experimentation, causal ...

Posted today

DEUNA

Data Science intern

San Francisco, CA

... data orchestration in one powerful solution. With deep integrations across 300+ PSPs and ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

DEUNA

Data Science intern

San Francisco, CA · On-site

... data orchestration in one powerful solution. With deep integrations across 300+ PSPs and ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

You may have the flexibility to work from home one or more days per week. You will * Under the guidance of senior team members, apply machine learning and data science algorithms to help analyze ...

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All JobsFormula 1 Data Science JobsFormula 1 Data Science Jobs in California

Formula 1 Data Science information

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 data. They often use tools like Python, R, and SQL, and collaborate closely with engineers and strategists to optimize performance and decision-making.

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 earn higher salaries, often exceeding $200,000.

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.

How to get into Formula 1 Data Science as a data analyst?

To become a Formula 1 data analyst, develop strong skills in data analysis, programming (such as Python or R), and statistical modeling. Gaining experience with motorsport data, machine learning, and visualization tools like Tableau or Power BI can be beneficial, along with a background in engineering, physics, or related fields. Internships or entry-level roles in motorsport teams or analytics firms can provide valuable industry experience.

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.

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 popular job titles related to Formula 1 Data Science jobs in California?

For Formula 1 Data Science jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Formula 1 Data Science jobs?

Cities in California with the most Formula 1 Data Science job openings:

Formula 1 Data Science jobs near you
Infographic showing various Formula 1 Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Science

Adidev Technologies Inc

San Francisco, CA • On-site

Full-time

Re-posted 26 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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