As Data Scientist working for Zipcar's Revenue Management team you will be leading efforts to solve for complex theoretical problems including demand forecasting, price elasticity & member segmentation. Your research, analysis and modeling will be focused on achieving the challenging combination of improving both the member experience as well as financial performance. As the cities we operate in change and our member's preferences evolve it is your job to help shape the future of Zipcar and our product offering.

What you will do:

• Lead the development of Zipcar's member demand forecasting model which powers downstream decisions including pricing, availability, and fleet.
• Own the model validation framework and deployment of new model enhancements which support key business objectives including enhancing the member experience and profitability.
• Conduct advanced spatial analysis to identify local consumption patterns and demand profiles.
• Work with different stakeholders including data engineering to automate and improve specific areas of the team's operating model.

What You'll love about being a Zipster in the Revenue Management team:

• Data and evidence-based decision making from the top down.
• Best in class Data Science and Data Engineering tech stack. Python, Dask,

  Jupyterlab, Redshift, PostGIS and AWS.

• You will have time to dig deep into subject areas of importance. Reading cutting

  edge papers, blogs, and books is encouraged and supported.

• Only a few meetings, but lots of deep work. You will have time to focus on

  writing code rather than sitting on Zoom.

• The rest of the Data Science team will review your code and conclusions. This

  process will level up you and the team.

• You will have a lot of responsibility and autonomy on projects. You will be able to

  see a clear business impact from your work.

What drives success in this role:

• 2-5 Years of experience from predictive modeling, statistics and research related to demand forecasting (time series modeling is a plus).
• Strong sense of data science methodology and high emphasis on process/documentation.
• Knowledge and interest in spatial analysis research.
• Comfortable building and validating models using Python, SQL & business intelligence tools.
• The ability to understand business tradeoffs when building models. I.e., Time x

  Complexity vs. real-world impact.

• A Bachelor's Degree or above in a Scientific field. Ideally Mathematics, CS, or
• Strong problem-solving skills and the ability to communicate effectively with stakeholders such as Data Engineering, Revenue Management, and Operations.
• Interest in the transportation sector.

What tops off the tank:

• Competitive Medical, Dental, Vision, Life and Disability Insurance and other voluntary benefits through our parent company, Avis Budget Group
• Generous paid time off, including holidays, vacation, personal, sick, 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.

Being a Zipcar member gives you easy access to a car nearby without all the cost and hassle of owning one. Founded in 2000, Zipcar disrupted - or innovated - the traditional model of car ownership and independent studies show that Zipcar's model of car sharing is proven to reduce vehicle ownership, freeing up more city space for people. Zipcar provides members with socially responsible, sustainable mobility options that support the global environment, their communities and city livability.

Zipcar is a subsidiary of Avis Budget Group, Inc. (Nasdaq: CAR), a leading global provider of mobility solutions. For more information, visit: www.zipcar.com .

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.