Data Scientist

Job Description

We are seeking a highly skilled and motivated Senior Data Scientist - Service Metrics. In this role, you will be instrumental in developing and refining the metrics that assess our driving and service performance. You will help prioritize product features, explore hypotheses, uncover insights, and guide the team towards data-informed decisions that improve our robotaxi service. You will also take ownership of managing data and metrics from start to finish, dive into data to develop innovative solutions, and generate actionable insights. Working with cross-functional teams, your work will be pivotal in improving our metrics framework and operational processes. 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.

In this role, you will:

Take ownership of the service metrics definition and reporting, and work closely with engineering, safety, policy, and operations teams to interpret data and provide actionable insights

Analyze the service metrics to identify trends, patterns, and areas for improvement.

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

Enable a feedback loop with the estimation metric owners to improve estimation methodologies for upcoming milestones

Requirements

Qualifications:

Bachelor’s degree in Data Science, Statistics, Engineering, Business, or a related field. Advanced degrees or relevant certifications are a plus.

Strong fluency with Python and SQL.

6+ years of proven experience in data analysis, metrics management, engineering, consulting, or program management

Strong analytical skills with the ability to translate complex data into actionable insights.

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

Free breakfast and lunch

Full-time