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F1 Data Science Jobs in New York (NOW HIRING)

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 ...

A system can improve aggregate F1 while missing a high-risk slice, remove more sensitive ... This is a hands-on, zero-to-one role at the intersection of data science, AI, and a real production ...

Machine Learning Engineer

New York, NY · On-site

$61 - $80.75/hr

The goal is measurable improvement in the areas you own: better precision, recall, F1, high-risk ... Partner with Applied Science on measurement and calibration, Data and Product Engineering on ...

Senior AI Technical Product Manager

New York, NY · On-site +1

$138K - $182K/yr

You will work with cross-functional teams of engineers, designers, data scientists, and business ... recall, F1, task success, hallucination rate), and use results, including LLM-as-judge where ...

Senior AI Technical Product Manager

New York, NY · On-site +1

$138K - $182K/yr

You will work with cross-functional teams of engineers, designers, data scientists, and business ... recall, F1, task success, hallucination rate), and use results, including LLM-as-judge where ...

Senior AI Technical Product Manager

New York, NY · On-site

$138K - $182K/yr

You will work with cross-functional teams of engineers, designers, data scientists, and business ... recall, F1, task success, hallucination rate), and use results, including LLM-as-judge where ...

Senior AI Technical Product Manager

New York, NY · On-site +1

$138K - $182K/yr

You will work with cross-functional teams of engineers, designers, data scientists, and business ... recall, F1, task success, hallucination rate), and use results, including LLM-as-judge where ...

Lead AI Technical Product Manager

New York, NY · On-site

$182K - $211K/yr

You will work with cross-functional teams of engineers, designers, data scientists, and business ... F1, task success, hallucination rate), apply LLM-as-judge where it has been validated, and turn ...

Partner with regional marketing teams globally to ensure high-touch activations (F1, Executive ... Partner cross-functionally (Sales Ops, Data Science, Marketing Ops) to improve account data quality ...

ABM Account Strategy Lead

New York, NY · On-site

$152K - $213K/yr

... F1, Executive Briefings, in-market events) are intentionally aligned to target account priorities ... Ops, Data Science, Marketing Ops) to improve account data quality, CRM integration, and signal ...

... Hadoop, Data Warehousing, Business Analysis, Testing, Database Developer, ETL Developer etc ... Four years Bachelor's degree in Computer Science or equivalent * Able to communicate well both ...

You will work with cross-functional teams of engineers, designers, data scientists, and business ... F1, task success, hallucination rate), apply LLM-as-judge where it has been validated, and turn ...

Lead AI Technical Product Manager

New York, NY · On-site

$182K - $211K/yr

You will work with cross-functional teams of engineers, designers, data scientists, and business ... F1, task success, hallucination rate), apply LLM-as-judge where it has been validated, and turn ...

Lead AI Technical Product Manager

New York, NY · On-site

$182K - $211K/yr

You will work with cross-functional teams of engineers, designers, data scientists, and business ... F1, task success, hallucination rate), apply LLM-as-judge where it has been validated, and turn ...

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Showing results 1-20

F1 Data Science information

See New York salary details

$41K

$134.3K

$215K

How much do f1 data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for f1 data science in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What is an F1 Data Science?

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 does an F1 Data Science do?

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 skills and qualifications are needed for an F1 Data Science?

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.

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 car setup and strategy. F1 teams often seek data scientists skilled in statistical analysis, programming, and tools like Python, R, and SQL to support decision-making and performance improvements.

What are the most commonly searched types of F1 Data Science jobs in New York?

The most popular types of F1 Data Science jobs in New York are:

What cities in New York are hiring for F1 Data Science jobs?

Cities in New York with the most F1 Data Science job openings:

Infographic showing various F1 Data Science job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Data Scientist Intern

Ardian

New York, NY • On-site

Full-time

Re-posted 26 days ago


Job description

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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