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Director F1 Data Science Jobs in Springfield, MO

Astrix Inc

QA Specialist III

Springfield, MO · On-site

$45 - $47/hr

Review and analyze data to identify trends, recurring issues, and opportunities for process ... Bachelor's degree preferred in a scientific, engineering, or related technical discipline.

TERRACON

Lab Engineering Technician I

Springfield, MO · On-site

... scientific expertise to solving our clients' challenges and achieve their goals for project ... data in preparation for submittal. * Submits documentation and communicates results as directed by ...

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All JobsF1 Data Science JobsDirector F1 Data Science JobsDirector F1 Data Science Jobs in Springfield, MO

Director F1 Data Science information

See Springfield, MO salary details

$49.1K

$140.9K

$221.9K

How much do director f1 data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for director f1 data science in Springfield, MO is $140,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $172,400.00 per year, depending on experience, location, and employer.

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 Springfield, MO? The most popular types of F1 Data Science jobs in Springfield, MO are:
What are popular job titles related to Director F1 Data Science jobs in Springfield, MO? For Director F1 Data Science jobs in Springfield, MO, the most frequently searched job titles are:
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Director F1 Data Science jobs near you

QA Specialist III

Astrix Inc

Springfield, MO • On-site

$45 - $47/hr

Contractor

Re-posted 28 days ago

Job description

Pay Rate Low: 45 | Pay Rate High: 47
Pay Rate Low: 45 | Pay Rate High: 47
Our client, a leading global CDMO, is looking to hire a QC Deviation Specialist III to join their growing team in Greene County, Missouri!
Pay rate: $45 -$47/hr.
Location: Greene County, Missouri
Job type: 5-month contract (possibility of extension)
Position Summary
The QC Deviation Specialist III will be responsible for leading and executing quality investigations, including deviations and OOS events, within Manufacturing and QC departments. This role ensures compliance with internal procedures, regulatory requirements, and industry best practices while driving continuous improvement through effective root cause analysis (RCA) and implementation of corrective and preventive actions (CAPAs).
Key Responsibilities
  • Perform and document Deviation Investigations for Manufacturing and Quality Control operations.
  • Conduct Root Cause Analyses (RCA) and determine appropriate Corrective and Preventive Actions (CAPAs) to address identified issues.
  • Partner with Manufacturing, QC, and Quality Assurance teams to support investigations and ensure timely and compliant closure.
  • Provide coaching and training to staff on deviation investigations, RCA methodologies, and investigator qualification.
  • Perform and draft Out-of-Specification (OOS) investigations in accordance with internal policies and regulatory standards.
  • Review and analyze data to identify trends, recurring issues, and opportunities for process improvement.
  • Support continuous improvement initiatives within the Quality Management System (QMS).
  • Ensure all activities comply with applicable GMP, ISO, and regulatory requirements.

Qualifications
  • Minimum 10 years of relevant experience in Quality Systems Management, with direct experience in manufacturing and quality control deviation management.
  • Strong knowledge of Root Cause Analysis (RCA) and CAPA development and implementation.
  • Proven experience writing and managing quality investigations in a regulated industry (e.g., pharmaceutical, biotechnology, medical device, or similar).
  • Bachelor's degree preferred in a scientific, engineering, or related technical discipline.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a cross-functional team environment.

Preferred Qualifications
  • Familiarity with Good Manufacturing Practices (GMP) and regulatory guidance (e.g., FDA, EMA, ICH).
  • Experience using electronic quality systems (e.g., TrackWise, Veeva Vault, or similar).
  • Prior experience mentoring or training personnel on deviation and CAPA processes.
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