Senior Data Scientist

San Francisco, CA /
Data & Intelligence /
Full-time
At Getaround, we’re building a global platform to enable a future where all cars are shared. There are more than 1 billion cars in the world, and they are parked more than 95% of the time on average. With instant and keyless car sharing via our patented hardware and software platform and our industry-leading mobile apps, we’re helping communities around the world share these underutilized resources to reduce their vehicle footprint while providing mobility solutions. We aim to change the landscape of cities worldwide and make them better, more sustainable places to live.

Getaround is looking for an experienced Senior Data Scientist to help the organization make decisions that better serve our users and the marketplace. You will have the opportunity to lead foundation work in marketplace dynamics, experimentation, pricing, claims, fraud, customer analytics, and more. More than building ML models, this role will require finding creative ways to quantitatively frame complex problems in a multi-sided marketplace on different timescales. You will work closely with our Product, Engineering, Growth, Marketing, Operations, Claims, and Business Intelligence teams to help discover new opportunities, define the product roadmap, and drive strategic initiatives. The team is based in San Francisco and we are fully remote.

What you'll be doing:

    • Forecast the two-sided marketplace and model its dynamics to optimize pricing and growth strategy, while working closely with Operations and Claims/Actuarial teams
    • Contribute to design of an experimentation platform including tools, processes, and best practices for causal inference and actionable interpretation
    • Analyze marketplace participants to identify usage patterns and anomalous behavior to understand how and why people use our product
    • Distill complex data and findings into understandable narratives, communicate with cross-functional stakeholders and make actionable recommendations
    • Find opportunities to improve product efficiency and revenue performance, limit unwanted behavior through predictive and prescriptive analytics

What you'll need:

    • 5+ years experience in a role focused on applied statistics, data science or econometric modeling with a degree in related quantitative field
    • Expertise in R or Python for statistical analysis and building machine learning models
    • Expertise in using SQL for data extraction and transformation
    • Experience in building predictive models for pricing, forecasting, or recommendation
    • Experience in product experimentation and causal inference
    • High level of attention to detail, ability to give detailed feedback on complex quantitative projects, a drive for comprehensive understanding and an unwillingness to accept conventional wisdom at face value
    • Strong presentation and written communication skills with the ability to build consensus with multi level cross-functional stakeholders

Additional Awesomeness:

    • Experience with any part of our data stack: Airflow, BigQuery, dbt, Looker, and git would be helpful, but not a requirement

Benefits and Perks:

    • Platinum plans for medical, dental, and vision to take excellent care of you and your family
    • Generous Stock Options and robust 401(K) to help you save and plan for retirement
    • Remote First Workplace, flexible work hours, and UNLIMITED PTO (we mean it!)
    • Work smarter incentive policy to optimize your home office and individual wellness needs
    • Education stipend to promote your career development and growth
    • Udemy for business learning portal 
    • Monthly Getaround credits and discounts for your friends and family
#LI-Remote

At Getaround, we are proud to be an Equal Opportunity Employer. We believe that no matter your race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, your perspective has value.

Come join us in continuing to make Getaround a great place to work!