Zipcar-posted 2 months ago
$120,000 - $145,000/Yr
Full-time • Mid Level
Boston, MA
51-100 employees

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.

  • 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
  • Bachelor's or Master’s degree in Statistics, Computer Science, Applied Math, or a related field
  • 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
  • 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
  • Annual starting salary between $120,000 - $145,000
  • Equal opportunity employer
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