Data Scientist

Zipcar

Zipcar

Data Science
Boston, MA, USA · Poland · Boston, MA, USA
Posted on Thursday, May 16, 2024

What you’ll do:

As a member of the Data Science team, the 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. The Data Scientist will develop 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 solutions to complex business processes.

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
  • Implement advanced statistical models, machine learning algorithms, and data mining techniques to extract valuable insights from complex datasets that empower leadership to drive action
  • Develop, maintain, optimize, and scale models for predictive analytics in production 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:

  • Requirements:
    • Bachelor’s or Master’s degree in a relevant field such as computer science, statistics, mathematics, or a related discipline.
    • Experience with statistical analysis, data modeling, and predictive analytics
    • Demonstrable experience with time series forecasting or pricing models
    • Advanced Python skills
    • Advanced SQL skills
    • Proficiency with cloud technologies (AWS), Kubernetes, Airflow
    • Experience operating in an SDLC environment and deploying machine learning production models and code
    • Knowledge of ETL and tools such as DBT
    • Excellent problem solving skills and the ability to approach complex business challenges from a data-driven perspective.
    • Strong communication skills with the ability to collaborate with technical and non-technical stakeholders.
    • Experience handling, cleaning, and transforming raw, unstructured data into a useable format for modeling
  • Nice to haves:
    • Experience with geospatial modeling (specifically Uber’s H3 library)
    • Experience working with a Redshift data warehouse and standard AWS services (EC2, S3, etc)
    • Experience using Looker (or other BI tools) for data visualization and report building
    • Prior work with location planning, 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.

BostonMassachusettsUnited States of America