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Formula 1 Internship Data Science Jobs in Arizona

Data Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Data Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Data Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Data Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Data Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Data Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Data Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program. Benefits Eligible Yes ... data science will be considered. Additional Qualifications: The preferred candidate will possess a ...

Come join a #1 team and do some good! Office Locations : Bloomington, Atlanta, Dallas, Phoenix ... Our data science teams also embrace staying current with the evolving data science landscape.

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... of one year of professional or research experience in data. Demonstrated ability to develop ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... of one year of professional or research experience in data. Demonstrated ability to develop ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ... data science landscape. The Selection Process: 1. After submitting your application, our ...

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Formula 1 Internship Data Science information

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.

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 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 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:
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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist, Data & Science Solutions

Caris Life Sciences

Tempe, AZ

Full-time

Re-posted 19 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.

We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day:"What would I do if this patient were my mom?"That question drives everything we do.

But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.

Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.

Position Summary

Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.

Job Responsibilities

  • Contribute to analytics and research that support internal stakeholders and external partners.

  • Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.

  • Support preparation of analytical results and figures for internal reviews and client-facing discussions.

  • Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.

  • Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.

  • Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.

    Required Qualifications

    • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.

    • Strong programming skills in Python or R, with experience developing reproducible analysis workflows.

    • Experience with Linux ecosystem, Git, and queries from SQL or related database families.

    • Experience with molecular genetics data and/or multimodal real-world data (RWD).

    • Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.

    • Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

    Preferred Qualifications

    • Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.

    • Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.

    • Good code documentation practices and experience with workflow management packages.

    • Experience working in cloud or HPC clusters.

    Physical Demands

    • Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.

    • Visual acuity and analytical skill to distinguish fine detail.

    • Must possess ability to sit and/or stand for long periods of time.

    Training

    • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

    Other

    • This position may require periodic travel and some evenings, weekends, and/or holidays.

    Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check( applicable for certain positions) and reference verification.

    This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

    Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.