About
35 Thomson Pl, Boston, 02210time type:
Full timeposted on:
Posted 3 Days Agojob requisition id:
R0181467**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 workflowsGlad 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 #J-18808-Ljbffr
Languages
- English
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