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Director F1 Data Science Jobs in Colorado (NOW HIRING)

Cymertek

Data Scientist

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Data Scientist

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

F1 Arcade

Hospitality Manager - Denver

Denver, CO · On-site

... F1 Arcade enjoys an outstanding and memorable hospitality experience. You will embody our ... Monitor guest feedback from surveys, reviews, and direct interactions to identify trends. * Work ...

Sovrn

Director, Data Collective

Boulder, CO · On-site

... Director, Data Collective to lead the team that owns Sovrn's data platform end-to-end: the ... Partner with Product, Data Science, AI/ML, Platform, and Security teams to ship end-to-end and to ...

Husch Blackwell LLP

Data Engineering Manager

Denver, CO · On-site +1

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... Foster professional growth and skill development in their direct reports. * Delegate tasks and ...

Husch Blackwell Llp

Data Engineering Manager

Denver, CO · On-site +1

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... Foster professional growth and skill development in their direct reports. * Delegate tasks and ...

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All JobsF1 Data Science JobsDirector F1 Data Science JobsDirector F1 Data Science Jobs in Colorado

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 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 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 are the most commonly searched types of F1 Data Science jobs in Colorado? The most popular types of F1 Data Science jobs in Colorado are:
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Director F1 Data Science jobs near you

RF Systems Data Scientist

Sensor Science Division | NIST

Boulder, CO • On-site

$83K/yr

Full-time

Posted 12 days ago

Job description

NIST is seeking a Data Scientist to advance RF systems testing and spectrum science by applying machine learning, signal processing, and statistical analysis to transform complex measurement data into actionable insights that strengthen communications technologies and scientific research. This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.

Qualifications:

BASIC Requirements:


A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.


OR

B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
AND
In addition to the basic requirements above, applicants must possess one of the following to qualify:
A. One year (52 weeks) of specialized experience equivalent to at least the GS-09 grade level (ZP-II at NIST).
Specialized experience is defined as experience applying statistical methods to analyze scientific or engineering data, developing data visualizations, and processing or analyzing research or experimental data.


OR
B. Master's or equivalent graduate degree
OR
C. Combination of education and experience
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook.
If requesting reconsideration of your qualification determination, please refer to the following site: Applicant ReconsiderationEducation:
This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Use of foreign education for qualifications. An accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with course-by-course listing) is required with your application.Employment Type: OTHER

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