Data Scientist, Systems Engineering

Santa Clara Valley (Cupertino), California, United States
Software and Services

Summary

Posted:
Role Number:200201949
Play a role in bringing autonomous technologies to the real world. We are looking for an experienced and highly motivated data scientist to join our efforts to measure and evaluate autonomous technologies. You will engineer and generate data-driven insights into system performance and testing, and provide a sound statistical basis for determining the performance of autonomous systems.

Key Qualifications

  • Experience working with large datasets (Hadoop/Spark preferred)
  • 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 & analytical communications
  • Experience with experiment design and hypothesis testing
  • Experience with statistics of rare events, rare event modeling, and long tail distributions
  • Experience with path dependent data sets, such as sequences, funnels, or time series
  • Demonstrated interest in autonomous technologies
  • Ability to effectively collaborate in a dynamic & diverse environment

Description

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

Education & Experience

MS/PhD (or equivalent experience) in CS/Data Science/EE/Statistics or other Scientific field

Additional Requirements

  • 3+ years data science background including data analytics, modeling, visualization, study design, and statistical methods
  • Clear and concise written and verbal communication skills