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F1 Data Science Jobs in Arizona (NOW HIRING)

F1 Data Science information

Can a data scientist work in F1?

Yes, data scientists can work in Formula 1 by analyzing race data, vehicle telemetry, and performance metrics to optimize car setup and strategy. They often use tools like Python, R, and SQL, and need a strong background in statistics, machine learning, and motorsport knowledge. These roles typically require collaboration with engineers and teams during race seasons and testing periods.

How much do F1 data scientists make?

F1 data scientists typically earn between $70,000 and $120,000 annually, depending on experience, location, and the complexity of the role. Senior professionals with specialized skills in data analysis, machine learning, and motorsport data may earn higher salaries, often supplemented by performance bonuses and benefits.

What are some common daily responsibilities for an F1 Data Science professional?

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 much do F1 data analysts make?

F1 data analysts typically earn between $60,000 and $120,000 annually, depending on experience, location, and the level of expertise in data analysis tools like Python or R. Entry-level analysts may start at lower salaries, while experienced professionals with specialized skills can earn higher compensation in the motorsport industry.

How to get into F1 as a data analyst?

To become an F1 data analyst, candidates typically need a strong background in data science, statistics, or engineering, along with experience in motorsport or high-performance environments. Proficiency in programming languages like Python or R, knowledge of telemetry data, and familiarity with data visualization tools are essential. Gaining relevant internships or roles in motorsport teams or related industries can improve chances of entering F1 as a data analyst.

What are the key skills and qualifications needed to thrive in the F1 Data Science position, and why are they important?

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 job?

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 the most commonly searched types of F1 Data Science jobs in Arizona? The most popular types of F1 Data Science jobs in Arizona are:
Infographic showing various F1 Data Science job openings in Arizona as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Electrical Engineer US Citizenship required

Science Referral Network

Tucson, AZ • On-site

Full-time

Posted 22 days ago


Job description

Company Description
About Science Referral Network
We maintain a global network of well connected professionals in science, technology, engineering, and mathematics who are interested in working with us to help organizations recruit and hire the right technical talent for even the most specialized of tasks. Our network consists of both subject matter experts in a wide variety of technical areas and senior leaders at some of the world's most innovative, cutting edge organizations. We employ a system of strategic research and confidential targeted crowdsourcing throughout this network to help our clients identify and hire the talent they need.
Much more than just a database, we are continually working to strengthen all of the individual connections that make up our network. We strive to develop mutually beneficial, trusting relationships by actively engaging with our network members. This creates the confidence and collaboration that is necessary for our continued success. We believe that our integrity is our greatest asset and we value people over process. We are steadfast in our commitment to the highest ethical principles in all of our business dealings and endeavor to add value in any way we can.
Job Description
We have a PERM position in Tucson, AZ (VERY COMPREHENSIVE RELOCATION PACKAGE IS BEING OFFERED) for an Electrical Engineer. There are several positions available at all levels (even for recent grads with internship experience). The job description is below. If you are still available please send an updated resume, your salary requirements, date of availability, and your citizenship status(***OUR CLIENT CANNOT ACCEPT H1B, H2B, F1, TN1 VISAS OR GREEN CARD CANDIDATES***). We cannot work with outside parties or do C2C.
Thank you!
Dee Smith
Job Description:
The Electrical Engineer will develop FPGA designs for all major vendors and device families including: Xilinx, Altera, Lattice, and Microsemi. Designs are implemented using VHDL for the following applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) DSP, controls, data links, embedded processing and processor interfaces. Designers work with circuit card designers and systems engineers to develop requirements, architect new parts, partition and perform code development, simulation, place and route. Designs are verified against requirements using both directed test and constrained random methodologies. Design support is expected from requirements definition through integration and test. Design documentation and configuration management are required.
Qualifications
Required Skills, Experience and Education:
Bachelor of Science in Electrical Engineering
Six (6) years of experience with digital design and VHDL coding
Four (4) years of experience with embedded processor and System on a Chip development for FPGA devices
Expertise of Altera and Xilinx devices and flow tools
Expertise in FPGA timing constraint application and closure, as well as hands on integration and debug experience with FPGA-based systems
Digital Signal Design processing for FPGA devices, both programming and testing
Applied experience applying fixed-point analysis and conversion of floating point algorithms
MATLAB scripting and simulation
Desired Qualifications:
MS or Ph.D. in Electrical Engineering
Knowledge of C programming and scripting languages such as Perl or Python highly desired
Knowledge of embedded systems design using Microblaze, Nios or ARM processors a strong plus
FPGA design experience using a Linux based development environment highly desired
Highly motivated, high performers with a strong desire to learn and contribute in a fast-paced team environment
Excellent verbal and written communication skills
Ability to perform work without appreciable direction
Past experience in a leadership role such as team lead, technical lead, project lead, etc.
ABOUT OUR CLIENT:
14,000 employees
Headquartered in Tucson, Ariz.
World's largest developer, producer and integrator of weapon systems More than 1.5 million missiles produced since 1954
Broad weapons portfolio
Missiles
Smart munitions
Projectiles
Kinetic kill vehicles
Directed energy weapons
Mounted reconnaissance, surveillance and target acquisition
Customers: All U.S. military services; allied forces of more than 50 countries
Contact Dee
Science Referral Network
Dee Smith
Sourcing Specialist
Recruiting Department
Additional Information
All your information will be kept confidential according to EEO guidelines.
This position requires the eligibility to obtain a security clearance. Non-US citizens may not be eligible to obtain a security clearance.