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F1 Data Science Jobs (NOW HIRING)

... science team, the intern data scientist will work on data projects directly related to Ardian ... Open to J1/F1 sponsorship To enhance your recruitment prospects and prepare for potential ...

Integrated within the data science team, the intern data scientist will work on data projects ... Open to J1/F1 sponsorship To enhance your recruitment prospects and prepare for potential ...

Integrated within the data science team, the intern data scientist will work on data projects ... Open to J1/F1 sponsorship To enhance your recruitment prospects and prepare for potential ...

Data Scientist (AI/NLP)

Manhattan, NY · On-site

$200K - $240K/yr

This is a high-impact, cross-functional role at the intersection of data science, artificial ... Experience defining and tracking model performance metrics (e.g., precision, recall, F1, ROUGE) to ...

Students seeking F1-OPT transition support, STEM extension guidance, or long-term sponsorship * Aspiring tech professionals aiming to start their careers in backend development, DevOps, data science ...

Recent graduates in Computer Science, Engineering, Math, Statistics, or related STEM fields ... All visa types are welcome, including F1/OPT, CPT, H-1B, and U.S. citizens. We also assist eligible ...

Data Scientist, PhD

Quantico, VA · On-site

$110K - $120K/yr

PhD or recently graduated or soon to be graduated (2025) PhD student with a Data Science focus and ... Citizenship Required without a work authorization, sponsorship or visa (F1, OPT, CPT or other)

Quantify model performance (precision/recall, F1, ROC/AUC, calibration) and write clear reports ... Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to ...

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F1 Data Science information

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$37.5K

$122.7K

$196.5K

How much do f1 data science jobs pay per year?

As of Jun 4, 2026, the average yearly pay for f1 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 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 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 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.
What cities are hiring for F1 Data Science jobs? Cities with the most F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most F1 Data Science jobs? States with the most job openings for F1 Data Science jobs include:
Infographic showing various F1 Data Science job openings in the United States as of May 2026, with employment types broken down into 9% As Needed, 82% Part Time, and 9% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist Intern

Ardian

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Intern Data Scientist

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.)

This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development.

Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.

Required skills

  • Rigor
  • Motivation
  • Autonomy
  • Responsiveness
  • Team spirit and excellent communication skills
  • Ability to simplify complex technical concepts
  • Efficiency

Profile

  • 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science, Statistics, Mathematics, Operations Research, or related field
  • Prior experience in data science required
  • Advanced proficiency in Python required
  • Fluent English essential
  • Good command of Excel and PowerPoint appreciated

Other information

  • Remuneration based on profile
  • Monday – Thursday meals provided in Ardian's office
  • Open to J1/F1 sponsorship

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