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Senior Formula 1 Data Science Jobs (NOW HIRING)

GRVTY

Data Science - Senior

Springfield, VA · On-site

We are looking for a Senior Data Scientist,with experience processing and analyzing large datasets ... Demonstrated experience of advanced programming techniques, using one or more of the following:

GRVTY

Data Science - Senior

Springfield, VA · On-site

We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets ... Demonstrated experience of advanced programming techniques, using one or more of the following:

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA

$106.38K - $132.98K/yr

Additionally, a minimum of one onsite, in person interview will be required as part of the ... What you'll need to succeed as a Senior Scientist, Data Science at XPO Minimum qualifications:

Domo

Senior Data Scientist

American Fork, UT

POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with Domo ... Portfolio of at least one completed data science and/or statistics project, including ...

Domo

Senior Data Scientist

American Fork, UT · On-site

POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with Domo ... Portfolio of at least one completed data science and/or statistics project, including ...

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

As of May 31, 2026, the average yearly pay for senior formula 1 data science in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Formula 1 Data Scientist, and why are they important?

To excel as a Senior Formula 1 Data Scientist, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically supported by a degree in mathematics, engineering, or computer science. Proficiency with programming languages such as Python or R, familiarity with telemetry data systems, and experience using data visualization and simulation tools are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with engineers and translate complex insights into actionable strategies. These skills enable the optimization of race performance and decision-making in the highly competitive and data-driven environment of Formula 1.

What are some unique challenges Senior Formula 1 Data Scientists face when integrating real-time race data into strategic decision-making?

Senior Formula 1 Data Scientists often work under intense time pressure, especially during race weekends, where they must process and interpret large volumes of real-time telemetry and sensor data to inform critical decisions. Ensuring data accuracy and reliability in rapidly changing track conditions can be challenging, and effective communication with engineers, strategists, and drivers is essential to translate insights into actionable strategies. Additionally, the collaborative environment requires frequent coordination with multidisciplinary teams, including software engineers and vehicle dynamics experts, to implement and refine predictive models that enhance race performance.

What does a Senior Formula 1 Data Scientist do?

A Senior Formula 1 Data Scientist analyzes large volumes of data generated by F1 cars, teams, and races to gain insights that improve performance and strategy. They develop complex models and algorithms to optimize everything from car setup and tire strategy to race predictions and competitor analysis. Senior Data Scientists also collaborate closely with engineers, drivers, and team strategists to turn data into actionable decisions, often working in fast-paced, high-pressure environments. Their expertise in data analytics and machine learning is key to gaining a competitive edge in Formula 1.
What cities are hiring for Senior Formula 1 Data Science jobs? Cities with the most Senior Formula 1 Data Science job openings:
What are the most commonly searched types of Formula 1 Data Science jobs? The most popular types of Formula 1 Data Science jobs are:
What states have the most Senior Formula 1 Data Science jobs? States with the most job openings for Senior Formula 1 Data Science jobs include:
Senior Formula 1 Data Science jobs near you
Infographic showing various Senior Formula 1 Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 3% Physical, 19% Hybrid, and 78% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Data Science - Senior

GRVTY

Springfield, VA • On-site

Other

Posted 14 days ago

Job description

***Requires an active TS/SCI Security Clearance****

What Impact You'll Have: 

We are looking for a Senior Data Scientist,with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You'll Be Owning:

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

What You Must Have: 

  • Active TS/SCI Clearance with ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Experience supporting IC operations
  • Possess expert level knowledge to manipulate and analyze structured/ unstructured data
  • Demonstrated experience in data mining and developing/maintaining/manipulating databases
  • Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
  • Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
  • Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means
  • Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction
  • Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
  • Experienced in conducting multi-INT and technology specific research to support mission operations
  • Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format

What Would Be Nice to Have:

  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

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