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F1 Data Science Jobs in Texas (NOW HIRING)

Sol-Ark

Software Architect

Allen, TX · On-site

At this time, Sol-Ark is unable to consider candidates on F1-OPT status. We are seeking an ... Ability to manage and run DB SQL dumps, scripts and help with data mining. * Develop CI/CD ...

Aspira

Principal Software Engineer

Austin, TX

$133K - $179K/yr

... F1, J1, etc...). Aspira is unable to sponsor or take over sponsorship of employment visas, now or ... Implement robust security measures to protect sensitive data and ensure compliance standards such ...

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Showing results 41-42

All JobsF1 Data Science JobsF1 Data Science Jobs in Texas

F1 Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do f1 data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for f1 data science in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

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 car setup and strategy. F1 teams often seek data scientists skilled in statistical analysis, programming, and machine learning, using tools like Python, R, and SQL to support race performance and development.

What does an F1 Data Science do?

As an F1 Data Science professional, your daily tasks typically include analyzing real-time and historical race data to inform car performance optimization and race strategies. You’ll work closely with engineers, strategists, and drivers to interpret data from sensors and telemetry, build predictive models, and communicate findings to support decision-making. The role often involves developing and maintaining data processing pipelines as well as creating informative visualizations for both technical and non-technical stakeholders. Collaboration is key, as you’ll be part of a multidisciplinary team working together under tight deadlines during race events and testing sessions. This dynamic environment offers exciting opportunities to directly impact race outcomes through your data-driven insights.

How to get into F1 Data Science as a data analyst?

To become an F1 Data Science data analyst, develop strong skills in data analysis, programming (such as Python or R), and statistical modeling. Gaining experience with motorsport data, understanding F1 race operations, and familiarity with data visualization tools like Tableau or Power BI can also be beneficial. A background in engineering, physics, or computer science and relevant internships or projects can improve your chances of entering the field.

What skills and qualifications are needed for an F1 Data Science?

To thrive in an F1 Data Science role, you need a strong background in statistics, data analysis, programming (e.g., Python, R), and a solid understanding of motorsport engineering concepts, typically supported by a relevant degree in data science, engineering, or physics. Proficiency in data visualization tools, machine learning libraries, and race telemetry analysis systems is highly valued. Strong problem-solving ability, attention to detail, and clear communication are essential soft skills, as is a collaborative mindset for working closely with engineers and race strategists. These abilities are important for extracting actionable insights from complex data, optimizing car and team performance, and delivering results in the high-pressure, fast-paced environment of Formula 1.

What is an F1 Data Science?

An F1 Data Science job involves analyzing vast amounts of racing data to optimize car performance, race strategy, and driver decision-making. Data scientists in Formula 1 work with telemetry, simulations, and real-time data to extract insights that improve speed, reliability, and efficiency. They use machine learning, statistical modeling, and engineering principles to enhance car aerodynamics, tire management, and fuel strategy. This role requires a strong background in data analytics, programming (Python, MATLAB, SQL), and a deep understanding of motorsport dynamics.

What are popular job titles related to F1 Data Science jobs in Texas? For F1 Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching F1 Data Science jobs in Texas look for? The top searched job categories for F1 Data Science jobs in Texas are:
What cities in Texas are hiring for F1 Data Science jobs? Cities in Texas with the most F1 Data Science job openings:
F1 Data Science jobs near you
Infographic showing various F1 Data Science job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Software Architect

Sol-Ark

Allen, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description


Location: This position will be onsite at our corporate offices in Allen, Texas (Dallas-Fort Worth area).
**Not a remote position.
Full-time W-2 ONSITE opportunity (not remote)!
Work Eligibility:
  • Candidates must be legally authorized to work in the United States without requiring employer-sponsored visa sponsorship now or in the future.
  • At this time, Sol-Ark is unable to consider candidates on F1-OPT status.

We are seeking an experienced Hands-On Software Architect with a minimum of 10 to 15 years of professional experience, proficient in Architecture, Design and Development of high quality and high reliability enterprise grade custom Front end/JEE/Java/AI/ML Data applications.The ideal candidate will have a strong technical background, excellent problem-solving sills, and a proven track record of delivering high-quality software solutions. Candidate must be authorized to work in the US for any employer.
Responsibilities:
  • Architect, Design andDevelop high quality Java - Spring - custom enterprise software applications in AWS cloud, ensuring adherence to project specifications, timelines, and quality standards.
  • Collaborate with cross-functional teams, i.e. software engineers, DevOps engineers, testers, hardware engineers, firmware engineers, and system architects, to design and develop software systems and interfaces.
  • Hands-on architect who delivers through all phases of the software development life-cycle, including architecture, technical design, implementation, testing and documentation.
  • Develop Technology Architecture to support various custom solutions
  • Debug and troubleshoot software, cloud configurations, and firmware integration issues, utilizing appropriate tools and techniques.
  • Conduct code reviews to ensure software quality and maintainability.
  • Design and implement software to work with relational and NoSql databases.
  • Ability to manage and run DB SQL dumps, scripts and help with data mining.
  • Develop CI/CD pipelines to build deploy on-demand micro-services, enterprise java applications software systems, and APIs.
  • Work with test automation to maintain CI/CD pipelines for all software projects.

Requirements
  • Be expert in architecture, design and development of end-to-end middleware and backend systems using latest enterprise Java 17+ and Spring IoC Frameworks.
  • Be expert in design and development of microservice and event driven architectures.
  • Must be able to do the talk and do the walk - lead by example.
  • Be expert in developing MQTT,Kafka streams, messaging systems, and data streaming solutions for real time and near real time IOT applications.
  • Be an expert in relational and NoSQL databases (i.e. MongoDB, MySQL, Postgres).
  • Be an expert in Security solutions for Java/Spring applications.
  • Be expert in design and development of RESTFUL Web Services.
  • Have experience developing front end applications using one or more leading frameworks (i.e. React, Vue, Angular).
  • Be expert in developing front end web applications using Javascript/CSS/HTML.
  • Be experienced in using the latest GenAI based tools for code generation and assist tools to improve code efficiency and software delivery.
  • Experience in lightweight Server-side technologies (Spring Boot, GoLang, NodeJS, Scala).
  • Familiarity with software development methodologies, i.e.Agile or Scrum
  • Proficient knowledge of modern software security concepts (i.e. TLS 1.2+).
  • Working knowledge of Ansible, Terraform and DOCKER or similar toolsets.
  • DevOps to deploy front-end, back-end components and databases to the AWS cloud.
  • Familiarity with Code Quality tools i.e. SonarCube, Corbeturra, KLOCKWORK etc.
  • Familiarity with Unit testing frameworks for developing bug free software applications.
  • Familiarity with software configuration management tools and version control systems.
  • Self-starter with ability to work independently to deliver against aggressive timelines.
  • Excellent communication skills to collaborate with multidisciplinary teams.
  • Strong analytical and problem-solving abilities, with an attention to detail.

Desired Qualifications:
  • Bachelor's or master's in computer engineering or computer science or electrical engineering, or a related field from an accredited US university or renowned international university.
  • Experience with AWS Cloudwatch and/or other monitoring platforms i.e. Graphana.
  • Experience in developing software for real-time IOT applications.
  • Knowledge of scripting languages (Python, Perl, YAML, etc) for CICD automation.
  • Familiarity with TLS 1.3 implementations.
  • Experience in one or more Web development technologies (VueJS, ReactJS, Angular).
  • Understanding of electrical systems and power distribution.
  • Stay up to date with industry trends and emerging technologies related to cloud.

Benefits
Salary and Benefits: We offer a competitive salary and performance-based bonus program, top-tier benefits package, including medical, dental, and vision insurance, 401(k), and paid time off.

Apply