About the Role
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.
What You’ll Do
- Improve fleet demand forecasting models
- Build new predictive models for pricing sensitivity, member segmentation, and campaign targeting
- Collaborate with Product, Pricing, Operations, Finance, and Marketing to integrate modeling into decision-making
- Translate complex modeling outcomes into clear, actionable recommendations
- Monitor model performance, retrain as needed, and manage model lifecycle in production
- Partner with Engineering to move models from prototype to production and partner with the Product team to prioritize future enhancements
- Build trust in modeling outputs by documenting assumptions, limitations, and performance
- Evangelize data science best practices across the company and help level up analytical maturity
What You Bring
- Bachelor's or Master’s degree in Statistics, Computer Science, Applied Math, or a related field and a minimum of 3 years of professional experience
- Proven experience with predictive modeling, time series forecasting, pricing algorithms, or classification models
- Strong Python skills for statistical modeling and knowledge of modern ML platforms (e.g. PyTorch/TensorFlow, scikit-learn)
- Advanced SQL and experience working with large-scale cloud data warehouses (Redshift, Snowflake, etc.)
- Experience deploying models in production environments (using tools like Airflow, dbt, or AWS), knowledge of machine learning model evaluation, and performance tuning best practices
- Familiarity with software development workflows (version control, code review, reproducibility)
- Strong written and verbal communication skills—able to clearly explain models to non-technical audiences
- Comfort working with ambiguity, unstructured problems, and evolving data sources
Nice-to-Haves
- 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