Join Lyft as a Senior Data Scientist - Routing

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

Our extensive transport network meets the needs of millions of people daily, whether they use Lyft cars, bikes, scooters, public transportation, or walk. We prioritize suggesting the fastest, most affordable, and safest routes by processing millions of rides, integrating the latest traffic information, and analyzing driver preferences.

Position Overview

We are seeking a talented Senior Data Scientist to further enhance our efforts. You will collaborate with engineering and product teams to critically evaluate the current routing experience and implement product enhancements that improve customer satisfaction.

In this role, you will have access to extensive data from millions of daily route requests and actual driving patterns. Utilizing this data, you will identify optimization opportunities, design and analyze online experiments, and make data-driven decisions. The ideal candidate will apply strong business acumen to propose product changes, develop end-to-end technical solutions, and thrive in a highly cross-functional team environment.

Our Technology Stack

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

Key Responsibilities

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

Required Experience

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

Salary & 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 for biological, adoptive, and foster parents.
• 30 days of paid time off, plus 10 observed holidays.

Work Schedule

This role will be hybrid in-office based in Munich, with team members expected to work in the office three days per week (Monday, Thursday, and a team-specific third day). Additionally, there is the flexibility to work from anywhere for up to four weeks per year.

Diversity & Inclusion

Lyft proudly pursues and hires a diverse workforce. We believe in equal employment opportunities regardless of race, ancestry, origin, color, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned offenses, or any other protected basis by law or company policy. We also strive for a healthy and safe workplace, strictly prohibiting any form of harassment.

Accommodations for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your Recruiter