Zipcar
AI

Data Scientist

Zipcar · Boston, MA, US · $120k - $145k

Actively hiring Posted 3 months ago

Role overview

As our Data Scientist, you’ll be responsible for building and scaling models that support our core business areas: fleet planning, pricing strategy, member segmentation, and demand forecasting. You’ll own and evolve key models, such as time series demand forecasting and customer geo-segmentation classification and help create new capabilities. Your work will directly influence capital investments, strategy, and how we serve our members across North America.

This is a high-impact, high-visibility role on the Data Science & Analytics Team. You’ll collaborate closely with Product Managers, Analysts, Engineers, and business stakeholders across Zipcar. You’ll bring strong technical skills—but just as importantly, you’ll bring a business mindset, curiosity, and clarity in communication. You’ll be the person others turn to when they want to move from intuition to insight.

  • Experience with geospatial modeling, especially using Uber’s H3 library
  • Experience using Looker or other BI tools for exploratory data analysis or visualization
  • Background in transportation, location planning, urban analytics, or consumer marketplaces
  • Experience mentoring other Analysts or acting as a tech lead
  • Curiosity and interest in leveraging AI and LLM tools to improve workflows

Who are we?

Glad you asked! Zipcar is the world’s leading car-sharing network, found in urban areas and university campuses in more than 500 cities and towns. Our team is smart, creative and fun, and we’re driven by a mission – to enable simple and responsible urban living.

The extra mile:

We encourage Zipsters to bring their whole selves to work - unique perspectives, personal experiences, backgrounds, and however they identify. We are proud to be an equal opportunity employer – M/F/D/V.

The annual starting salary for this position is between $120,000 - $145,000 annually. Factors that may affect starting pay within this range include geography/market, skills, education, experience, and other qualifications of the successful candidate.

BostonMassachusettsUnited States of America

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