Data Scientist Lead/Manager

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI


Role Number:200063634
Would you like to play a role in bringing autonomous technologies to the real world. We are looking for an experienced and highly motivated data scientist to lead our efforts to measure and evaluate autonomous technologies. You will be empowered to define the measurement strategy, generate data-driven insights into system performance and testing, and provide a sound statistical basis for determining product readiness of autonomous systems.

Key Qualifications

  • Experience designing a measurement strategy to evaluate the performance of complex systems against challenging requirements
  • Experience developing data science pipelines, tool-chains, and workflows in Python, R, or equivalent general programming languages
  • Demonstrated ability to distill data-driven insights through informative visualizations & executive level communications
  • Experience with experimental design loops for integrated SW/HW systems
  • Experience with statistics of rare events, rare event modeling, and long tail distributions
  • Experience with geospatial datasets & tool-chains
  • Deep understanding of statistics and/or applied math as basis for choosing techniques & experiments
  • Demonstrated interest in autonomous technologies
  • 2+ years experience leading a technical team of direct reports
  • Ability to effectively collaborate in a dynamic & diverse environment


- Assess readiness of autonomous systems based on rigorous statistical methods - Develop informative data visualizations based on scalable data pipelines and analysis - Develop and execute performance measurement strategy for autonomy systems - Deploy novel analytic strategies to evaluate accuracy of simulation methods against real-world data - Develop a statistical basis for determining sufficient depth and breadth of autonomous software simulation testing - Lead team of data scientists and/or software engineers

Education & Experience

- MS/PhD (or equivalent) in CS/Data Science/Mathematics/Statistics or other Scientific field

Additional Requirements