Senior Data Scientist - Routing

Key Skills

Apache Airflow, Big Data Technology, Data Engineering, Data pipelines, Data science techniques, Planning and organization, Python Programming, SPARK Programming, SQL

Job Description

In this role, you have access to data from millions of route requests per day, as well as actual driving patterns. You will leverage this data and analytics framework to identify opportunities for optimizations and efficiency, to design and analyze online experiments and to make data-driven decisions. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers.

Responsibilities:

• Drive high-impact projects and innovate new solutions to provide the best routing experience possible
• Analyze rides, understand driver pain points, prioritize and size feature requests and help establish a roadmap and an architecture based on our business needs
• Leverage data and analytic frameworks to identify opportunities for growth and efficiency
• Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and experiments.
• Develop analytical frameworks and models to monitor business and product performance.
• Establish metrics that measure the health of our products, the business and the customer experience.
• Manage, influence, negotiate, mentor and inspire others in a fast-moving environment
• Build tools and dashboards to provide visibility to other teams.

Experience:

• Degree in statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• 4+ years of industry experience in a data science, analytics, or management consulting role.
• Extensive experience in SQL and Python
• Hands-on experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners
• Nice-to-have: Prior experience in navigation systems / maps
• Proven ability that you can work well in an international environment with a diverse group of engineers in different locations (Munich, Minsk, Kyiv, Seattle, San Francisco, New York)

Benefits:

• Pension scheme with 4% employer contribution
• Risk and Accidental Death & Dismemberment benefits
• Mental health benefits
• Family building benefits
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• 30 days for paid time off in addition to 10 observed holidays

This role will be in-office on a hybrid schedule if an established Lyft Location is available to the Munich region — Hybrid Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.