ZipRecruiter

Log In

1

Formula 1 Data Science Jobs in Seattle, WA (NOW HIRING)

Microsoft

Data Scientist II

Redmond, WA · On-site

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing ...

Microsoft

Senior Data & Applied Scientist

Redmond, WA · On-site

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured ...

Amazon

Data Scientist, Fire TV

Seattle, WA · On-site

... one or more of the following pillars: Fire TV engagement, lifecycle analytics, ads monetization, and Appstore performance - Independently own data science workstreams with guidance on ambiguous or ...

Walmart

Principal, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

Demonstrated success in data science platforms like Kaggle. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.

Microsoft

Senior Data and Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

Qualifications Required/minimum qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data ...

Amazon

Data Scientist, Fire TV

Seattle, WA · On-site

... one or more of the following pillars: Fire TV engagement, lifecycle analytics, ads monetization, and Appstore performance - Independently own data science workstreams with guidance on ambiguous or ...

Amazon

Data Scientist, Fire TV

Seattle, WA · On-site

... one or more of the following pillars: Fire TV engagement, lifecycle analytics, ads monetization, and Appstore performance - Independently own data science workstreams with guidance on ambiguous or ...

Anthropic

Data Scientist, Marketing

Seattle, WA · On-site

About the role As part of our growing Data Science and Analytics team, you will own the measurement ... any one embedded analyst. Key responsibilities * Own incrementality measurement for paid media ...

previous pagenext page

Showing results 21-40

All JobsFormula 1 Data Science JobsFormula 1 Data Science Jobs in Seattle, WA

Formula 1 Data Science information

See Seattle, WA salary details

$47.2K

$162.1K

$228.7K

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

As of Sep 4, 2026, the average yearly pay for formula 1 data science in Seattle, WA is $162,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,900.00 and $189,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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. They often use tools like Python, R, and machine learning techniques to optimize car performance and decision-making processes within racing teams.

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 command higher salaries, often exceeding $200,000.

Is it hard to get a job in Formula 1 Data Science?

Securing a role in Formula 1 Data Science can be competitive due to the specialized skills required, such as expertise in data analysis, machine learning, and experience with tools like Python or R. Candidates often need a strong background in engineering, physics, or related fields, along with relevant experience or internships in motorsport or high-performance environments.

What are the most commonly searched types of Formula 1 Data Science jobs in Seattle, WA?

The most popular types of Formula 1 Data Science jobs in Seattle, WA are:

What are popular job titles related to Formula 1 Data Science jobs in Seattle, WA?

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

What job categories do people searching Formula 1 Data Science jobs in Seattle, WA look for?

The top searched job categories for Formula 1 Data Science jobs in Seattle, WA are:

Formula 1 Data Science jobs near you
Infographic showing various Formula 1 Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 69% Full Time, 16% Part Time, and 15% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $162,124 per year, or $77.9 per hour.

Data Scientist II

Microsoft

Redmond, WA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

80th of 247 rated software companies

Job description

Overview
As Microsoft continues to lead the way in AI innovation, Clipchamp is transforming how people create, edit, and share video content. With nearly 100 million registered users worldwide, Clipchamp powers storytelling across Microsoft 365 experiences, helping individuals and organizations communicate more effectively through video. Our mission is simple: empower everyone to create stories worth sharing.
We are seeking a Data Scientist II to join our Data team and help drive growth and engagement across Clipchamp, Microsoft Teams, PowerPoint, and other Microsoft 365 experiences. In this role, you will leverage large-scale telemetry and customer data to uncover insights, understand user behavior, identify growth opportunities, measure product impact, and influence product strategy. Working closely with product managers, engineers, and business partners, you will turn complex data into actionable recommendations that improve customer experiences and business outcomes.
You will be part of a collaborative and inclusive team that values curiosity, innovation, and engineering excellence. Beyond delivering insights, you will contribute to building scalable data assets, analytics solutions, and measurement frameworks that enable data-driven decision making across the organization. If you are passionate about applying data science to solve real-world customer challenges and shape the future of video experiences at Microsoft, we would love to hear from you.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
  • Develop scalable, high-performance analytics solutions and trusted data assets that enable data-driven decision-making.
  • Work with development teams to improve instrumentation quality, partner with product stakeholders, build relevant datasets, define success metrics, create dashboards, scorecards, visualizations, and tools to democratize data and foster a data-driven culture.
  • Execute targeted analyses to understand customer behavior, feature adoption, engagement, retention, and product impact.
  • Collect requirements, create dashboards and report, and deliver actionable insights and recommendations to business and product teams.
  • Utilize artificial intelligence and agentic development to improve data pipelines and analytics platforms, and leverage AI-powered tools to accelerate insight generation, improve analytics productivity, and enhance data quality.
  • Communicate analytical findings through presentations, written insights, and cross-functional collaboration, demonstrating teamwork and ownership.
  • Take part in the on-call roster to monitor and mitigate data service degradation and downtime.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
  • Experience developing data and analytics solutions using cloud technologies such as Azure, Cosmos. Familiarity with scripting and query languages including PowerShell, KQL, and SQL, and programming languages such as C#, TypeScript, Python, or similar technologies.
  • Experience analyzing product telemetry, defining metrics, and generating insights to support data-informed decision-making.
  • Experience applying statistical analysis, experimentation, and product analytics to evaluate feature performance and customer engagement.
  • Familiarity with AI-powered tools and agentic workflows to improve productivity, automate analysis, and accelerate insight generation.
  • Familiarity with video creation and consumption technologies and industry trends is a plus.
  • Committed to quality, including security, privacy, compliance, and performance.
  • Ability to translate business questions into analytical approaches and communicate insights to technical and non-technical stakeholders

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Microsoft logo

About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

FacebookTwitter

View All Microsoft Jobs

Apply