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Formula 1 Data Science Jobs in Texas (NOW HIRING)

Altium

Data Scientist

Live Oak, TX · On-site

Essential Functions: 1. Data Science & Modeling: 60% * Designs and executes data experiments to validate hypotheses and measure model performance. * Designs, develops, and deploys machine learning ...

AT&T

Lead Data Scientist

Dallas, TX · On-site

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse ...

Altium

Data Scientist

Live Oak, TX · On-site

Essential Functions: 1. Data Science & Modeling: 60% * Designs and executes data experiments to validate hypotheses and measure model performance. * Designs, develops, and deploys machine learning ...

Dhalite Inc.

Entry-Level Data Analyst

Dallas, TX · On-site

... Computer Science, Economics, 0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting Familiarity with at least one data visualization tool Basic ...

Varsity Tutors

Data Science Tutor

Grand Prairie, TX · 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

Corpus Christi, TX · 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

Arlington, TX · 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

San Marcos, TX · 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

Carrollton, TX · 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

Lubbock, TX · 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

Plano, TX · 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

Brownsville, TX · 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

Edinburg, TX · 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

Bryan, TX · 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

Pearland, TX · 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

Amarillo, TX · 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

Mckinney, TX · 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

Irving, TX · 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

Dallas, TX · 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 ...

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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. They often use tools like Python, R, and machine learning techniques to optimize car performance and decision-making processes within racing teams.

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 command higher salaries, often exceeding $200,000.

Is it hard to get a job in Formula 1 Data Science?

Securing a role in Formula 1 Data Science can be competitive due to the specialized skills required, such as expertise in data analysis, machine learning, and experience with tools like Python or R. Candidates often need a strong background in engineering, physics, or related fields, along with relevant experience or internships in motorsport or high-performance environments.

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

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

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

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

Formula 1 Data Science jobs near you
Infographic showing various Formula 1 Data Science job openings in Texas as of August 2026, with employment types broken down into 71% Full Time, 15% Part Time, and 14% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Data Scientist

Altium

Live Oak, TX • On-site

Full-time

Posted 18 days ago

Job description

Overview:

The Data Scientist is responsible for leveraging advanced analytics, statistical models, and machine learning techniques to uncover insights from structured and unstructured data. This role supports decision-making across departments by developing predictive models, visualizations, and data-driven strategies that enhance business performance and operational efficiency. This role serves as a critical link between data and decision-making, collaborating with business leaders, operational teams, and technologists to uncover and communicate meaningful insights.

Essential Functions:

1. Data Science & Modeling: 60%

  • Designs and executes data experiments to validate hypotheses and measure model performance.
  • Designs, develops, and deploys machine learning (ML) models within Snowflake-based data pipelines and workflows.
  • Conducts large-scale statistical analyses and controlled experiments to uncover actionable insights.
  • Explores and analyzes structured and unstructured data to detect trends, anomalies, and opportunities.
  • Turns broad or unclear problems into actionable projects by defining success metrics and setting clear goals for analysis.
  • Collects, cleans, and prepares data for modeling and analysis to ensure data integrity and quality.
  • Partners with Data Engineers to integrate and deploy analytical models and products into production environments.
  • Translates high-priority business challenges into analytical strategies and data models that drive measurable return on investment (ROI).

2. Stakeholder Engagement & Innovation: 25%

  • Visualizes complex data and crafts compelling, audience-tailored narratives for stakeholders at all levels—from frontline teams to executive leadership.
  • Communicates findings in a clear, actionable manner that informs strategic decisions across the business.
  • Stays informed on emerging AI/ML advancements and evaluates their potential to enhance business outcomes.

3. Performs other duties as assigned. 15%

Education and Experience:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or related field.
  • 4+ years of experience in hands-on data science, including modeling, visualization, and end-to-end project ownership.
  • Experience with data in construction, field services, or operations-heavy environments preferred.

Skills/Abilities:

  • Strong problem-solving mindset with the ability to navigate ambiguity, rapidly prototype solutions, and iterate based on feedback.
  • Able to communicate technical concepts to non-technical stakeholders in a clear, compelling, and engaging manner.
  • Demonstrated ability to collaborate effectively within agile, cross-functional teams. 
  • Proficient in Python, SQL (Snowflake preferred), and data wrangling in large-scale environments.
  • Familiarity with cloud data warehouses and MLOps best practices (bonus if you’ve used Airflow, or similar tools).
  • Skilled in ML techniques (e.g., regression, classification, clustering, and ensemble methods).
  • Previous exposure to deep learning, Natural Processing Language (NLP), and computer vision is a plus. 

Work Environment:

  • Office environment.

Physical Demands:

  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.

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