Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Data Scientist driving data-enhanced decisions for Zoox's autonomous vehicle technology. Collaborating on geospatial data to optimize insights and service readiness.
Responsibilities
- Build data pipelines of geospatial features
- Integrate internal and external geospatial data to enhance our datasets
- Collaborate with multiple teams to prioritize roadmap on map features
- Identify key areas of investments for our geospatial datasets and features
Requirements
- Bachelor's, Master's or PhD in CS, statistics, mathematics or relevant fields
- Experience with map data and geospatial data analysis
- Fluency in Python or Scala
- Familiarity with SQL
- Experience with Spark or large-scale data analysis
- Experience designing metrics, building mechanisms to fuel business insights, and driving decision-making at various levels in an organization
- Experience with Geospatial Information System (GIS), knowledge of earth systems and geospatial sciences (bonus)
- Basic fluency in C++ (bonus)
Benefits
- Paid time off (e.g. sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
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