ZipRecruiter

Log In

1

Formula 1 Data Science Jobs in Washington (NOW HIRING)

GDIT

Data Science Analyst

Springfield, VA

$133K - $180K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards ... Ability to obtain one of these certifications within 6 months of start date if not currently in ...

teKnoluxion

Data Science Analyst

Springfield, VA · On-site

$138K - $167K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Ability to obtain one of these certifications within 6 months of start date if not currently in ...

System One

Data Scientist

Mclean, VA · Remote

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ... System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering ...

System One

Data Scientist

Mclean, VA · Remote

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ... System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering ...

teKnoluxion

Data Science Analyst

Springfield, VA

$138K - $167K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Ability to obtain one of these certifications within 6 months of start date if not currently in ...

System One

Data Scientist

Mclean, VA · Remote

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ... System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering ...

previous page

Showing results 41-60

All JobsFormula 1 Data Science JobsFormula 1 Data Science Jobs in Washington

Formula 1 Data Science information

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 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.

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 most commonly searched types of Formula 1 Data Science jobs in Washington?

The most popular types of Formula 1 Data Science jobs in Washington are:

What are popular job titles related to Formula 1 Data Science jobs in Washington?

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

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

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

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

Cities in Washington 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 Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Science Analyst

GDIT

Springfield, VA

$133K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

87th of 224 rated it services

Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Management, Metadata Standards, Visualization

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.

This position focuses on metadata maintenance activities for the integration of metadata between systems and the associated API to enable discovery of data across the Enterprise and the Intelligence Community.

Duties:

  • Work closely with the Lead Data Engineer to build and maintain theMAP, assess metadata quality, plan and coordinate metadata enhancement and remediation.
  • Determine/monitor MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, Postgres and Elasticsearch database applications.
  • Support Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics and standards needed to integrate into the Search and Discovery System.
  • Maintain an ongoing working relationship with government data stewards and system Data Store owners to inform end-user satisfaction and to keep abreast of attribute changes.
  • Investigate and respond to tickets/issues associated with metadata discrepancies or mapping.

Required:

  • At least 5 years of experience with data management, transformation, visualization, analysis, metadata standards, and organization techniques and tools.
  • At least 5 years of experience with search tools, search results organization and the implications of metadata organization, indexing and catalog content.
  • Bachelor's degree in systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Business, Management Information Systems, or related STEM degree program, or an additional 4 years of related data/systems engineering experience.
  • MS Degree and 10+ years of relevant experience
  • Excellent communication, analytical, problem solving, and organizational skills with the ability to present information and ideas clearly and concisely.
  • Strong technical skills, interest in technology, and the ability to troubleshoot simple technology problems, failures, or deficiencies.
  • Excellent skills with Microsoft office tools (Excel, PowerPoint, Notepad++)
  • Certifications: Security +, Network+, or A+ are preferred. Ability to obtain one of these certifications within 6 months of start date if not currently in hand.
  • Clearance Required: Active TS/SCI clearance with CI Poly

Desired:

  • At least 5 years of experience with customer imagery and data repositories, products, data types, and uses.
  • Knowledge and at least 5 years of experience with GIS-related applications and tools.
  • Comfortable with:
    • Postgres and Elasticsearch (build queries, analyze results)
    • GitLab (review code, recommend data remediation changes)
    • Openshift Container Platform (OCP) (approve merge requests)
    • Working in an Agile Software Development environment

Location: Company Site

US Citizenship Required


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $133,450 - $180,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Springfield

Additional Work Locations:

USA MO St. Louis

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

What General Dynamics Information Technology employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Dynamics Information Technology logo

About General Dynamics Information Technology

Sourced by ZipRecruiter

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

View All General Dynamics Information Technology Jobs

Apply