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Director F1 Data Science Jobs in Arizona (NOW HIRING)

NucleusTeq

Data Scientist

Phoenix, AZ · On-site

$110 - $160/hr

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 ...

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 ...

Onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to ...

Onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to ...

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Director F1 Data Science information

What does a director F1 data science do?

A Director of F1 Data Science leads a team responsible for analyzing and interpreting complex data related to Formula 1 racing. Their role involves overseeing the development and implementation of data-driven strategies to improve car performance, race strategy, and overall team competitiveness. They collaborate with engineers, data analysts, and race strategists to turn raw data into actionable insights. Additionally, they ensure the use of the latest technologies and methodologies in data science to maintain a competitive edge.

What are the key skills and qualifications needed to thrive as a director F1 data science?

To thrive as a Director F1 Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a relevant graduate degree and significant experience in motorsport or a similar high-performance environment. Familiarity with tools such as Python, MATLAB, cloud computing platforms, and race data analysis systems is essential, along with a track record of handling large-scale telemetry and simulation data. Strong leadership, strategic thinking, and clear communication are vital soft skills for guiding teams and collaborating with engineers, drivers, and executives. These abilities drive data-driven decision-making and innovation, directly impacting race strategy, car performance, and competitive advantage in Formula 1.

How does a director F1 data science typically collaborate with racing engineers and other technical teams?

A Director of F1 Data Science works closely with racing engineers, aerodynamics specialists, strategists, and software developers to turn complex data into actionable insights. This role involves leading data science projects that help optimize car performance, race strategy, and driver feedback by effectively communicating analytical findings to technical and non-technical stakeholders. Collaboration often includes attending engineering meetings, coordinating data collection during testing, and integrating data solutions into day-to-day team operations to ensure everyone is aligned toward the team’s performance goals.

What is the difference between Director F1 Data Science vs Data Scientist?

AspectDirector F1 Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentStrategic leadership, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageAutomotive, motorsport teams, analytics firmsTech companies, finance, healthcare, research institutions

The main difference is that the Director F1 Data Science oversees strategic projects and manages teams within the motorsport industry, while a Data Scientist focuses on hands-on data analysis and model building. The director role requires leadership skills and industry experience, whereas the data scientist role emphasizes technical expertise and coding skills.

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 Director F1 Data Science jobs in Arizona?

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

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

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

What cities in Arizona are hiring for Director F1 Data Science jobs?

Cities in Arizona with the most Director F1 Data Science job openings:

Director F1 Data Science jobs near you

Data Scientist

NucleusTeq

Phoenix, AZ • On-site

$110 - $160/hr

Other

Posted 11 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

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