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F1 Data Science Jobs in Arizona (NOW HIRING)

Nucleusteq

Data Scientist

Phoenix, AZ · On-site

Data Scientist Position is for a Data Scientist (internal title: Technical Project Manager ... F1-score) and adjust models as needed based on feedback and performance reports; Oversee the ...

NucleusTeq

Data Scientist

Phoenix, AZ · On-site +1

Data Scientist Position is for a Data Scientist (internal title: Technical Project Manager ... F1-score) and adjust models as needed based on feedback and performance reports; Oversee the ...

NucleusTeq

Data Scientist

Phoenix, AZ · On-site

Data Scientist Position is for a Data Scientist (internal title: Technical Project Manager ... F1-score) and adjust models as needed based on feedback and performance reports; Oversee the ...

Medtronic

Engineering Intern - Summer 2027

Tempe, AZ · On-site

$16 - $20.75/hr

Contribute to system integration, verification, validation, risk analysis, and data-driven ... Individuals on temporary visa classifications, including E, F1 (CPT or OPT), H1, H2, L, B, J, or TN ...

Medtronic

Engineering Intern - Summer 2027

Tempe, AZ · On-site

$16 - $20.75/hr

Contribute to system integration, verification, validation, risk analysis, and data-driven ... Individuals on temporary visa classifications, including E, F1 (CPT or OPT), H1, H2, L, B, J, or TN ...

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F1 Data Science information

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 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.

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.

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 tools like Python, R, and SQL to support decision-making and performance improvements.

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:

What are popular job titles related to F1 Data Science jobs in Arizona?

For F1 Data Science jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching F1 Data Science jobs in Arizona look for?

The top searched job categories for F1 Data Science jobs in Arizona are:

F1 Data Science jobs near you
Infographic showing various F1 Data Science job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Scientist

Nucleusteq

Phoenix, AZ • On-site

Full-time

Posted 9 days ago

Job description

JOB INFORMATION
Job Title of Opening: Data Scientist
Position is for a Data Scientist (internal title: Technical Project Manager) responsible for the development of NuoData, which is an AI powered data management platform that is proprietary to NucleusTeq, Inc. Duties include, but are not limited to: Develop and manage project roadmaps for AI and Machine Learning-driven products, ensuring timely delivery of features that leverage large-scale data models and AI systems; Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define AI/ML and data product requirements, ensuring alignment with business goals and project objectives for large-scale data solutions; Oversee the development, testing, and deployment of AI and machine learning models, ensuring that models meet performance, accuracy, and scalability requirements; Ensure effective data collection, cleaning, and transformation processes, applying best practices in data governance to ensure that AI and ML models are built on high-quality, structured data;
Continuously monitor and evaluate the performance of AI/ML models using appropriate metrics (e.g., accuracy, precision, recall, F1-score) and adjust models as needed based on
feedback and performance reports; Oversee the integration and deployment of LLMs (e.g., GPT, BERT) into products for NLP tasks such as sentiment analysis, chatbots, and customer service automation; Implement Agile Scrum or Kanban methodologies for AI/ML projects, ensuring iterative and incremental development of machine learning models, and continuous delivery of AI-driven features; Perform exploratory data analysis (EDA) on large datasets to identify trends, patterns, and insights that inform AI model development and data-driven decision-making; Act as the primary point of contact for stakeholders, providing regular updates on the progress of AI/ML projects and translating complex technical data into business friendly insights; Proactively identify and manage risks related to the deployment of AI/ML models, such as data quality issues, model performance degradation, and biases in AI algorithms; Implement monitoring frameworks to evaluate the real-world performance of AI/ML models post-deployment, ensuring models adapt and evolve based on new data and user feedback; Ensure AI/ML models comply with industry regulations and ethical guidelines, managing data privacy, bias mitigation, and transparency in model decision-making processes; Use insights from data analysis and AI models to recommend product enhancements and optimizations, leading to improved user experience and business outcomes; and provide mentorship to junior team members on AI/ML concepts, best practices for model development, and data engineering techniques.
Requires a Master's Degree in Data Analytics and 6 months of experience. Experience as a Deputy Manager is acceptable, or any suitable combination of education, training or experience thereof.
Job Site: Employee is permitted to work remotely from his or her home residence, but will at times be required to travel to various unanticipated jobsites within the United States.
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About Nucleusteq

Sourced by ZipRecruiter

NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics, Cloud, Enterprise Automation, Block-chain, Mobility etc. We are enabling several fortune 1000 clients in the USA, Canada, UK & India to navigate their digital transformation. Our mission is to empower & transform customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP. We are committed to enriching our colleagues and communities equally.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Phoenix, AZ, US

Year founded

2018

Social media

Facebook

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