Jobs · Information Technology · Michigan

Senior Data Scientist - AD/ADAS

Woven by Toyota · Ann Arbor, MI · 1 wk ago
HybridInformation TechnologyFull-time

Responsibilities

  • Use statistical modeling to shape the our data strategy for data acquisition (real and synthetic), validation and ML training
  • Develop metrics and frameworks to understand the distribution and diversity of data
  • Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact
  • Communicate findings on complex technical topics to stakeholders across engineering leadership and product
  • Embed with engineering teams to understand and provide data-driven recommendations on their domain-specific challenges
  • Drive the adoption of best practices in data science across the organization, mentor other data science engineers

Requirements

  • Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases.
  • Experience with a cloud platform such as (AWS, GCP, Azure etc.)
  • Experience with common data science tools; statistical analysis, mathematical modelling etc.
  • Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity
  • A track record of building relationships with engineering and product leadership, and influencing strategic business decisions
  • Ability to communicate concepts clearly and precisely to technical and non-technical stakeholders
  • Experience working in a cross-functional environment

Qualifications

  • Experience in working in a production ML environment
  • Experience working with geographically distributed teams
  • Previous experience in the AD/ADAS domain or adjacent fields (e.g. robotics)
  • Experience with temporal data and/or robotics sensor data

Skills

  • Excellent communication skills
  • Experience in using statistical methods in an applied setting
  • Experience in developing metrics and evaluation frameworks
  • Familiarity with Machine Learning systems

Benefits

  • Excellent health, wellness, dental and vision coverage
  • A rewarding 401k program
  • Flexible vacation policy
  • Family planning and care benefits

Pay

Details not specified

Schedule

Details not specified

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