Jobs @ Turo

Senior Data Scientist (Risk)

San Francisco
<h2><span style="font-weight: 400;">About Us</span></h2> <p><span style="font-weight: 400;">Turo is a peer-to-peer car sharing marketplace where guests can book any car they want, wherever they want, from a global community of local car owners.<br><br>We are a group of creative and mission-focused data genies, 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.<br><br>We’ve grown the business by over ten times in the past two years and raised over $200 million from investors like Daimler, SK Holdings, Kleiner Perkins, Google Ventures, August Capital and Shasta Ventures.</span></p> <h2><span style="font-weight: 400;">About You</span></h2> <p>You are a creative, rigorous senior data scientist who is excited to solve meaningful business problems. You are comfortable with a range of statistical and machine learning techniques with the ability to creatively apply them to our problems. You are proficient in translating unstructured business problems into an abstract mathematical framework and making intelligent approximations to proposal practical and scalable solutions.</p> <p>You have a passion for consumer products, shipping code, and data focused experiments. You enjoy developing models that will have an enormous impact on our next chapter. And you are excited to play a key role in crafting the product from inception to implementation and beyond.</p> <h2><span style="font-weight: 400;">Responsibilities</span></h2> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Work closely with engineers, product managers, and other data scientists to develop algorithms and drive key product and modeling decisions.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Lead the end-to-end process of conceptualizing, developing, deploying and analyzing models in the Cost of Insurance (Risk) vertical.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Present your insights and suggestions to audiences of all levels in the company.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Dedicatedly perform explorations of data and algorithms to improve our models.</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;">Mentor junior team members to help them elevate to the next level.</span></li> </ul> <h2><span style="font-weight: 400;">Required Qualifications</span></h2> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">MS in a science/engineering field with 5+ years (or PhD with 2+ years) of relevant industry experience.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Strongly self-motivated with a keen pair of eyes for details. A natural desire to learn and innovate with like-minded colleagues.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Deep understanding of mathematical methods in statistics, optimization, machine learning. Demonstrable experience applying them to real data problems such as classification, regression, recommendation system, and time series analysis.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in experiment design and analysis.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Fluent in a production-ready programming language such as Python. Ability to deploy and scale models into a production environment on AWS as services by collaborating with engineers.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Fluent in common data science tools, e.g. Jupyter notebooks, scikit-learn, pandas and PyTorch/Keras in Python (preferred), or equivalent tools in R.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Fluent in SQL or equivalent query languages; ability to efficiently query large datasets, and visualize the results.</span></li> </ul> <h2><span style="font-weight: 400;">Preferred Qualifications</span></h2> <ul> <li><span style="font-weight: 400;">Experience in working with risks such as insurance or actuarial science, etc. is strongly preferred.</span></li> <li><span style="font-weight: 400;">Knowledge in the latest machine learning techniques, such as neural network.</span></li> <li><span style="font-weight: 400;">Experience with AWS data warehouses, data lake, and ETL framework such as Airflow. Experience with Spark, and/or Hive.</span></li> </ul> <h2><span style="font-weight: 400;">Benefits</span><strong><br></strong></h2> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Competitive salary and meaningful equity</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Employer paid medical, dental, and vision insurance</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Apple equipment of your choice</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Four weeks paid time off, 11 paid holidays, volunteer time off, generous parental leave</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Weekly catered lunch with a fully-stocked kitchen</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Company-sponsored happy hours and team events</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Turo owner matching and vehicle reimbursement program</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Turo travel credit every month</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Engineering education allowance every month</span></li> </ul> <p><span style="font-weight: 400;">Turo is an equal opportunity employer and values 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.</span></p>


Interested? Apply here.