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Formula 1 Internship Data Science Jobs in Ohio (NOW HIRING)

Varsity Tutors

Data Science Tutor

Cleveland, OH · 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 ...

Varsity Tutors

Data Science Tutor

Columbus, OH · 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 ...

Varsity Tutors

Data Science Tutor

Cincinnati, OH · 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 ...

Varsity Tutors

Data Science Tutor

Akron, OH · 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 ...

Bath & Body Works

Formula Data Specialist I

New Albany, OH · On-site

$56K - $80K/yr

We are seeking a highly collaborative individual contributor to join the Formula Data Integrity ... Bachelor's degree in Business, Science, Engineering, or a related field, or equivalent combination ...

Kemper

Data Science Manager

Columbus, OH · Hybrid

... one of the nation's leading specialized insurers. Our success is a direct reflection of the ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

Credence

Data Science Manager

Dayton, OH · On-site

Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ ... Conduct group and one-on-one training sessions with end users. Requirements Education, Requirements ...

Credence

Data Science Manager

Dayton, OH · On-site

Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ ... Conduct group and one-on-one training sessions with end users. Requirements Education, Requirements ...

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Become a known expert in one or multiple Data Science techniques and methodologies. Job Qualifications Required Qualifications: * Education: Pursuing or has graduated with a Master's degree in a ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

Become a known expert in one or multiple Data Science techniques and methodologies. Job Qualifications Required Qualifications: * Education: Pursuing or has graduated with a Master's degree in a ...

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All JobsFormula 1 Data Science JobsFormula 1 Internship Data Science JobsFormula 1 Internship Data Science Jobs in Ohio

Formula 1 Internship Data Science information

How much do F1 data scientists make?

F1 data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the team they work for. Entry-level roles may start lower, while experienced professionals with advanced skills in data analysis, machine learning, and programming can earn higher salaries, often supplemented with bonuses and benefits.

Can a data scientist work in F1?

Yes, a data scientist can work in Formula 1 by analyzing race data, vehicle telemetry, and performance metrics to optimize strategies and car setups. F1 teams often seek data scientists with skills in statistical analysis, machine learning, and programming languages like Python or R, along with experience in sports analytics or engineering environments.

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, and why are they important?

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.

How much do F1 interns make?

F1 data science interns typically earn between $15 and $25 per hour, depending on the team and location. Internships usually last several months and may include additional benefits such as access to racing events and exposure to high-performance data analysis tools.
What are popular job titles related to Formula 1 Internship Data Science jobs in Ohio? For Formula 1 Internship Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Formula 1 Internship Data Science jobs in Ohio look for? The top searched job categories for Formula 1 Internship Data Science jobs in Ohio are:
Formula 1 Internship Data Science jobs near you

Data Science Tutor

Varsity Tutors

Cleveland, OH • Remote

$18 - $40/hr

Part-time

Re-posted yesterday

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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