Data Scientist

1 month ago

Biggin Hill, United Kingdom F1 Full time
About the Role

We are seeking a highly skilled and motivated Data Analysis Scientist to join our team at Formula One. As a key member of our Data Systems department, you will play a critical role in driving innovation and excellence in our data-driven approach.

Your primary responsibility will be to design, develop, and deploy data analytical tools and systems to support our live operational activities and post-event analysis. You will work closely with our team to identify and resolve issues, ensure data quality, and facilitate departmental and company development.

Key Responsibilities
  1. Deploy and configure software applications for live and simulated sessions.
  2. Operate and monitor software deployments during live and simulated sessions.
  3. Identify and resolve issues, including real-time troubleshooting.
  4. Report and resolve issues, ensuring proper solutions.
  5. Validate acquired and published data, ensuring service data quality.
  6. Facilitate departmental and company development, testing, and simulation activities.
  7. Liaise with internal data clients.
  8. Contribute to the assessment and review of systems and operations, proposing improvements.
  9. Liaise with management to take requirements and form solutions.
  10. Attend peer review meetings, ensuring best practices and a strong work ethic.
  11. Contribute to project planning, design, and implementation using best-practice techniques.
Requirements
  1. Recently graduated with a BSc or MSc in Computer Science or a related field.
  2. Experience with complex software application deployment and operation.
  3. Practical applications and utilization of data analytic work, mathematical, and/or statistical reduction on datasets.
  4. Development of bespoke data analytical and visualization tools.
  5. Excellent knowledge and skills in machine learning and computer vision.
  6. Good working knowledge of IT, Networking, Communications, software systems, etc.
  7. Relevant skills and experience in using computer vision, machine learning, and data analysis toolsets.
  8. Familiarity with C, Python, and Matlab.
  9. Understanding of the software development process.
  10. Interest in data analytics methods and applications.
  11. Ability to mentally process, interpret, and visualize information from multiple sources in real-time.
  12. Problem-solving and system improvement identification.
  13. Ability to multitask and work to tight deadlines.
  14. Ability to analyze results and present concise data reports and visualizations with meaningful conclusions.
  15. Ability to plan and organize priorities to respect departmental deadlines.
  16. Competency in producing technical reports, specifications, and user documentation.
  17. Ability to work effectively and efficiently in a team and individually, unsupervised.
  18. Ability to communicate clearly and professionally.
  19. Enthusiastic, confident, willing to learn, collaborative, and energetic.
  20. Smart and professional with good interpersonal skills.
  21. Positive approach to change.
  22. Promotes a collaborative working environment.

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