Data Scientist
Zipcar
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.
