Product Data Scientist, Electric Vehicles

Product Data Scientist

The Data team leverages data from our autonomous vehicles, operations, and rider experience to enhance driving performance and service readiness. We provide the foundation for strategic decision-making, enabling our stakeholders to make trusted decisions faster and gain deeper insight into their problems.

The Data Scientist in this role will serve our Product and Operations stakeholders as we prepare for commercial launch. This role will be key to prioritize product features, investigate hypotheses, uncover insights, and guide the Product team to data-driven decisions. You will bring not just analysis and experimentation skills, but also the curiosity to discover and dig deeper into data as well as the ownership to propose novel solutions to problems in this space. As a result, your work will accelerate our understanding of our service so we can provide a convenient, safe, and delightful experience for our riders.

Responsibilities

Coordinate with Product, Operations, and Engineering stakeholders to understand product requirements and problem statements
Process, clean, and validate the data to be used in analysis
Partner with data engineers to enhance data collection and transformation methods when needed
Analyze data to describe and diagnose our service performance and implement analytical models into production
Propose, test, and validate hypotheses about our service and rider experience in collaboration with Product
Present insights, findings, and solutions to stakeholders
Requirements
Qualifications

BS/MS: 4+ years of data science and analytics experience or PhD in related discipline
Strong fluency with Python
Strong fluency with SQL
Strong experience with statistical methods and mathematical models
Strong written and verbal communication skills
Good experience with data visualization tools (e.g. Tableau, Looker, PowerBI)
Good experience with experimentation methods (e.g. A/B testing)
Bonus Qualifications

Experience with predictive modeling frameworks and machine learning methods
Experience with a workflow manager such as Airflow
Experience with data warehouse platforms (e.g. Redshift, BigQuery, Databricks, …)
Experience with large scale processing frameworks (e.g. Spark, Hadoop, …)
Experience with large scale streaming platforms (e.g. Kafka, Kinesis)
Benefits
Health Care Plan (Medical, Dental & Vision)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Training & Development
Retirement Plan (401k, IRA)