Jobs @ Turo

Lead Data Scientist, Growth

San Francisco
<p><span style="font-weight: 400;">Turo is a peer-to-peer car sharing marketplace where guest can rent any car they want, wherever they want it, from a nationwide community of local car owners. </span></p> <p><span style="font-weight: 400;">We are a group of creative, mission-driven, data nerds, environmentalists and car enthusiasts who want to put the world’s 1B+ cars to better use. We do this by using data to serve our customers delightful experiences by matching them with the right car for their next adventure while keeping our marketplace safe. </span></p> <p><strong>About you</strong></p> <p><span style="font-weight: 400;">You are creative, rigorously data-driven scientist who is excited to solve challenging problems that have a direct impact on growing the business. You must be comfortable with a range of statistical and machine learning techniques with the ability to innovatively apply them to our problem domain. This requires you to be proficient in translating unstructured business problems into an abstract mathematical framework and make intelligent approximations to make solutions practical and scalable.</span></p> <p> </p> <p><span style="font-weight: 400;">As a lead/manager, you will need to demonstrate ability to understand the big-picture, articulate what needs to be done and execute on it; you are an effective partner who listens well and incorporates others' feedback. You can ruthlessly prioritize to handle multiple projects with tight deadlines.</span></p> <p><span style="font-weight: 400;">You have a passion for consumer products, shipping code, and data-driven experiments. The models you develop will have an enormous impact on our next chapter and you should be excited to play a key role in creating the product from inception to implementation and beyond.</span></p> <h6><strong>Responsibilities</strong></h6> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Work closely with data scientists, engineers, marketers, and product managers to develop algorithms and drive key product or modeling decisions</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Proactively perform exploration to improve our algorithms</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Develop data models and services that drive our business using state of the art methods: Cost of customer acquisition, predictive LTV models, marketing attribution models, automated bidding systems, etc.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Research the best metrics, design and validate experiments to measure model performance</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Present your insights to all levels of the company, clearly and concisely</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Mentor and guide more junior team members</span></li> </ul> <p><br><br></p> <h6><strong>Requirements</strong></h6> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">PhD (or MS + equivalent) in hard sciences/engineering with at least 5+ years of relevant industry experience- preferably in the area of growth/marketing in consumer focused startup</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Deep understanding of mathematical methods in statistics, optimization and demonstrable experience applying them to your chosen field of study such as classification, recommendation systems, time series analysis etc.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Understanding model validation and testing at scale using Synthetic control groups and AB tests</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Fluent in Python programming including common data science tools such as Jupyter notebooks, scikit-learn, pandas, and matplotlib</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Fluent in SQL, ability to query large datasets, and visualizing the results</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with commonly available tools and infrastructure for machine learning and parallel data processing</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience working with large amounts data and processing at scale using Amazon EC2, Storm, Hadoop and Spark</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Deep product sense &amp; self-starter with an eye for detail</span></li> </ul> <p> </p> <h6><strong>Preferred Qualifications</strong></h6> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Fluency working with ETL (Extract-Transform-Load) systems</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in deploying and scaling machine learning algorithms into production environments on cloud platforms e.g. AWS, GCP etc. as services</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience working in a rapid growth environment that requires flexibility and continuous innovation</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Ability to mentor junior engineers/data scientists</span></li> </ul> <p> </p> <p><strong>Benefits:</strong></p> <ul> <li>Competitive salary and meaningful equity</li> <li>Employer paid medical, dental, and vision insurance</li> <li>Apple equipment</li> <li>Four weeks paid time off, 11 paid holidays, volunteer time off, paid parental leave</li> <li>Weekly catered lunch</li> <li>Stocked kitchen and beverages</li> <li>Company-sponsored happy hours and team events</li> <li>Turo owner matching and vehicle reimbursement program</li> <li>Turo travel credit every month</li> </ul> <p>We’re an equal opportunity employer and value diversity at our company. We don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. When in doubt, please apply!</p> <p> </p>


Interested? Apply here.