ZipRecruiter

Log In

1

Formula 1 Data Science Jobs in Boston, MA (NOW HIRING)

Merck & Co., Inc.

Director, Oncology Data Science

Boston, MA · On-site

$194K - $305K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is ... We encourage our colleagues to respectfully challenge one another's thinking and approach problems ...

Merck & Co., Inc.

Director, Oncology Data Science

Boston, MA · On-site

$194K - $305K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is ... We encourage our colleagues to respectfully challenge one another's thinking and approach problems ...

DraftKings

Data Science Manager, Marketing

Boston, MA · On-site

We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Science Manager, you drive strategy and execution ...

LEK

Data Scientist

Boston, MA · On-site

$110 - $120/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engagements at one time * Deliver across the full analytical stack: data aggregation and creation, cleaning and manipulation, commercial data science (geospatial, machine learning ...

New

Wit

Adjunct Instructor, Data Science

Boston, MA

$1.3K/wk

Adjunct Professor - Data Science Department: School of Computing and Data Science Location ... The minimum adjunct rate is $1,365 per credit. Compensation and Benefits Wentworth Institute of ...

previous pagenext page

Showing results 21-40

All JobsFormula 1 Data Science JobsFormula 1 Data Science Jobs in Boston, MA

Formula 1 Data Science information

See Boston, MA salary details

$45.1K

$154.8K

$218.4K

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

As of Aug 12, 2026, the average yearly pay for formula 1 data science in Boston, MA is $154,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,700.00 and $180,900.00 per year, depending on experience, location, and employer.

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 Boston, MA? For Formula 1 Data Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Formula 1 Data Science jobs in Boston, MA look for? The top searched job categories for Formula 1 Data Science jobs in Boston, MA are:
Formula 1 Data Science jobs near you
Infographic showing various Formula 1 Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $154,769 per year, or $74.4 per hour.

Director, Data Science and Analytics

The Weather Channel

Andover, MA • On-site

Full-time

Re-posted 23 days ago

Job description

Company Description
At WSI, weather means business. We are the world's leading provider of weather-driven business solutions that enable enterprises to make better decisions using the most accurate, precise and resolute weather data available. We serve some of the world's biggest brands in the aviation, energy, insurance, and media markets, plus multiple federal and state government agencies.
Based on growth and expansion in analytics we are searching for a leader to build WSI's capabilities in the data sciences, working closely with leaders across the company to build a variety of models, recommenders, and algorithms used by WSI customers to make critical weather related business decisions. You'll connect with stakeholders across multiple verticals (Aviation, Energy, Retail, Insurance, Logistics) identifying opportunities to extract value from datasets and solve focused analytical problems. We are a community of engineers, data scientists, and statisticians, and are looking to add to our growing team. Weather is one of the largest global datasets. We produce Petabytes a year of weather information. Every day our customers make critical decisions based on the weather.
OUR IDEAL CANDIDATE:
  • Has considerable and highly relevant experience in data sciences and technology management - putting predictive models into production for B2B clientele, and building and managing a best in class data sciences group
  • Is excited about extremely large datasets and using them to add value to society
  • Relishes devising and executing strategies and roadmaps and getting buy-in from stakeholders and senior leadership
  • Is very comfortable interfacing with senior level clients to evangelize our solutions

Job Description
  • Explore big data to surface Insights to inform major product and business decisions
  • Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition and sentiment analysis
  • Analyze and model structured data using advanced statistical methods
  • Process data in large-scale environments
  • Attract, select, develop, motivate, train and retain a team of high performing data science professionals
  • Interface with multiple business units to help us grow analytics as a competitive business advantage and as a center of excellence within the business
  • Select and manage relationship with outsourced analytics provider to augment staff as needed from time to time
  • Manage day-to-day operations, including staffing, scheduling, and prioritization of engagements
  • Lead the definition of processes and procedures to enable the team execute efficiently and the product ingest data optimally
  • Identify data partners, both internal and external, to gather the data to build the best in class data solutions
  • Provide sales support and enable the team sell bigger and better and provide metrics to justify the customer spend
  • Be an evangelist and market the solution by promoting the value of the product from a data perspective using white papers, presentations, etc.
  • Build a performance driven culture with a strong foundation of intellectual curiosity

Qualifications
  • Masters degree applied statistics, mathematics, econometrics, or other discipline related to Time-Series Analysis, Machine Learning, or Forecasting, or its equivalent
  • 10 years of relevant experience in data sciences and technology management, to include deploying predictive models into production
  • Knowledge, Skills and Abilities
  • Demonstrated ability to work with clients, products, and services across multiple industries
  • Demonstrated performance in managing big data projects such as - MapReduce, Hadoop, HPCC
  • Demonstrated proficiency in growing and managing a data sciences team
  • Proficiency in managing in an Agile environment.
  • Strong organizational, analytical, and problem-solving skills

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply