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Formula 1 Internship Data Science Jobs in Arizona

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Company-sponsored donation match 3 for 1, Volunteer Time Off (VTO) to give back to the community ...

Master Electronics

Data Scientist II

Phoenix, AZ

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Company-sponsored donation match 3 for 1, Volunteer Time Off (VTO) to give back to the community ...

Master Electronics

Data Scientist II

Phoenix, AZ

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Company-sponsored donation match 3 for 1, Volunteer Time Off (VTO) to give back to the community ...

Achieve

Data Scientist (AHL)

Tempe, AZ

Serve as a strategic thought partner for other members of the Data Science team Qualifications What you'll bring : * 1-2+ years of experience as a professional data scientist. This is a must ...

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Data Scientist (AHL)

Tempe, AZ

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What you'll bring : * 1-2+ years of experience as a professional data scientist. This is a must ...

Achieve

Data Scientist (AHL)

Tempe, AZ

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What you'll bring : * 1-2+ years of experience as a professional data scientist. This is a must ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What you'll bring : * 1-2+ years of experience as a professional data scientist. This is a must ...

USAA

Senior Marketing Data Scientist

Phoenix, AZ · On-site

We seek to be the #1 choice for the military community and their families. Embrace a fulfilling ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

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Formula 1 Internship Data Science information

What is a Formula 1 internship in data science?

A Formula 1 Internship in Data Science is a temporary position that allows students or recent graduates to work alongside professional data scientists within a Formula 1 team or organization. Interns typically assist with data collection, analysis, and modeling to help optimize car performance and race strategy. This role provides hands-on experience with real-world motorsport data and advanced analytical tools, giving interns valuable insights into both data science and the high-paced world of Formula 1. It is an excellent opportunity for those interested in combining their passion for racing with technical skills in data analytics.

What types of projects can I expect to work on as a data science intern in Formula 1, and how do these contribute to the team's performance?

As a Data Science intern in Formula 1, you can expect to work on projects such as analyzing telemetry data, optimizing race strategies, and developing predictive models for vehicle performance. These projects often involve close collaboration with engineers, race strategists, and software developers to translate complex data into actionable insights. Your work directly supports the team’s competitive edge, as data-driven decisions can influence everything from pit stop timing to car setup. This dynamic environment provides hands-on experience with cutting-edge tools and exposes you to the fast-paced nature of motorsports analytics.

What are the key skills and qualifications needed to thrive as a Formula 1 internship data science?

To excel in a Formula 1 Data Science Internship, you need a solid background in statistics, data analysis, and programming (such as Python or R), typically supported by current studies in mathematics, engineering, or computer science. Familiarity with data visualization tools, machine learning frameworks, and motorsport telemetry systems is highly beneficial. Strong problem-solving skills, attention to detail, and effective communication set standout candidates apart. These competencies enable interns to extract actionable insights from complex data, directly impacting race strategies and team performance.

What is the difference between Formula 1 Internship Data Science vs Formula 1 Data Engineer Internship?

AspectFormula 1 Internship Data ScienceFormula 1 Data Engineer Internship
Required SkillsData analysis, statistical modeling, programming (Python, R)Data pipeline development, database management, programming (Python, SQL)
Work EnvironmentAnalyzing race data, predictive modeling, machine learningBuilding data infrastructure, real-time data processing
Industry UsagePerformance analysis, strategy supportData infrastructure, telemetry data handling

Both internships are within the Formula 1 industry and require programming skills. Data Science focuses on analyzing and modeling race data to improve performance, while Data Engineering emphasizes building and maintaining data systems for real-time data flow. Candidates should choose based on their technical strengths and career interests in analytics versus infrastructure development.

How much do Formula 1 internship data scientists make?

Formula 1 internship data scientists typically earn between $3,000 and $6,000 per month, depending on the team and location. Internships often last several months and may include opportunities to work with data analysis tools like Python, R, and SQL. Compensation can vary based on experience, educational background, and the specific team's budget.

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

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

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

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

Formula 1 Internship Data Science jobs near you
Infographic showing various Formula 1 Internship Data Science job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Careers | Office of Inspector General

Tucson, AZ

$50K/yr

Full-time

Posted 23 days ago

Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-07: Must have at least one year of specialized experience equivalent to GS-05 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) with close supervision or detailed instructions.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in preparing written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-09: Must have at least one year of specialized experience equivalent to GS-07 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts

    with

    open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) under supervision or with detailed guidance.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in the preparation of written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Employment Type: OTHER

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