Data Scientist

Full time

Employment Information

What you’ll do:

As a member of the Data Science team, the Senior Data Scientist will support core teams – product, fleet, operations, member services, revenue management, and sales – to deliver on the company’s mission of enabling simple and responsible urban living. Day-to-day projects include developing predictive models, using the vast amount of available data, to influence business growth and decision making. Using a business-focused mind set, the data scientist will build relationships with stakeholders throughout the company to provide the tools they need.

The ideal candidate combines technical knowledge with a customer-service approach to deliver tools to business stakeholders. This role will have a direct and immediate impact on the growth and profitability of the company by delivering data-backed evidence to decision making.

What you’ll love about being a Zipster:

  • Become a generalized expert of Zipcar’s data platform: how data is generated and captured along with any caveats and exceptions
  • Explore and analyze datasets to uncover valuable insights and trends
  • Develop, maintain, optimize, and scale models used to power predictive analytics
  • Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action
  • Implement analytical models in production by collaborating with other engineering teams
  • Serve as the point of contact for data science models – includes training, troubleshooting, explaining outcomes and prioritizing future enhancement
  • Evangelize data driven decision-making across the company. Attend strategy and design meetings and hold leaders accountable for testing and measurement
  • Manage multiple projects at once, prioritize backlogs, and successfully meet deadlines independently

What drives success for a Data Scientist:


  • Minimum 3 years of relevant data science experience
  • Bachelor’s degree in a relevant field
  • Proven experience with a modern programming language (Python, R)
  • Advanced SQL skills
  • Proficiency with cloud technologies (AWS), Kubernetes, Airflow
  • Comfortable operating in an SDLC environment and deploying production engineering models and code
  • Ability to collaborate, build consensus, and influence cross-functional teams.
  • History of success and a desire to drive results in a fast-paced environment.
  • First-rate analytical skills, including a critical eye for detail
  • Excellent communication skills with a customer-service oriented approach
  • Proactive, with the ability to solve problems independently
  • Experience analyzing large datasets through data extraction, cleaning, and modeling to distill insights

Nice to haves:

  • Master’s degree in data science, data visualization, or another quantitative field
  • Experience working with a Redshift data warehouse and standard AWS services (EC2, S3, etc)
  • Experience with agile processes
  • Knowledge of ETL and tools such as DBT
  • Prior work with urban analytics, transportation, or cities

What tops off the tank:

  • Competitive Medical, Dental, Vision, Life and Disability Insurance and other voluntary benefits
  • Generous paid time off, including volunteer and Parental Leave options
  • Tax-free benefit for public transportation or parking expenses
  • Bicycle Reimbursement program
  • 401(k) Retirement Plan with company matched contributions
  • Free Zipcar Membership and other employee discounts, including discounts on renting and buying Avis/Budget cars
  • Community involvement opportunities

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.


Join our newsletter to get monthly updates on data science jobs.