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Data Scientist, Algorithms - Pricing - Rider Engagement

Lyft · San Francisco, CA · On-site

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About Lyft

Backed by a16z and Founders Fund.

About the role

We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product, Engineering and Analytics on a cross-functional team to develop and iterate incentive levers, prototype and build end-to-end solutions that can operate at scale. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
  • 1-4+ years professional experience for PhDs or 3-5+ years for Master’s in a Data Science role in a technology company setting
  • Proven experience with building and evaluating optimization or machine learning models
  • Proficiency with Python and working in a production coding environment
  • Passion for solving unstructured and non-standard mathematical problems
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
More about this role

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in a dynamic environment, and partner closely with cross-functional teammates to tackle a variety of highly open-ended business problems to build the world’s best transportation solutions.

The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives, and Rider Engagement is an integral part of that. Rider Engagement manages one of the most impactful marketplace and business levers, driving both short term and long term business outcomes. The team owns the algorithms and systems behind incentive offers, budget management, operational control and real-time optimization.

We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product, Engineering and Analytics on a...

Read the full posting on Lyft's site ↗

Pricing

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