At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, with public transportation, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. We achieve this by processing millions of rides, taking into account the latest traffic information and analyzing the preferences of drivers.

To strengthen our efforts, we are hiring a Senior Data Scientist who will collaborate with engineering and product to think critically about the current routing experience and implement product enhancements to improve our customer experience.

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. 

• 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.

• 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)

• 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.

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.  Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your Recruiter if you wish to make such a request.