Data Scientist

Turo•San Francisco, CA

4d•$134,000 - $168,000•Hybrid

About The Position

About the team: You are a creative and rigorous data scientist with 2+ years of experience, 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. Modeling is your thing, you are proficient in translating unstructured business problems into mathematical frameworks, and propose scalable solutions. You have a passion for consumer products, shipping code, and data focused experiments. You are excited to play a key role in crafting the product from inception to implementation and beyond. What you will do: Work closely with engineers, product managers and other data scientists to develop algorithms and drive key product and modeling decisions. Lead the end-to-end process of conceptualizing, developing, deploying, and analyzing models. Present your insights and suggestions to audiences of all levels in the company. Dedicatedly perform explorations of data and algorithms to improve our models. Own the data quality of your projects including training, test and experiment data. Research the best metrics; design and validate experiments to measure model performance.

Requirements

Deep understanding of mathematical methods in statistics, optimization, and machine learning.
Demonstrable experience applying these methods to real world prediction problems (classification, regression, recommendation systems, time series).
Strongly self-motivated with a keen eye for detail.
A natural desire to learn and innovate with like-minded colleagues.
Fluent in a production-ready programming language such as Python.
Ability to deploy and scale models into a production environment collaborating with engineers.
Fluent in common data science tools (e.g. scikit-learn, numpy, pandas) in Python/R (preferred).
Fluent in SQL, ability to efficiently query large datasets.

Nice To Haves

Experience in experiment design and analysis.
Experience with AWS data warehouses and services
Experience with Airflow.

Responsibilities

Work closely with engineers, product managers and other data scientists to develop algorithms and drive key product and modeling decisions.
Lead the end-to-end process of conceptualizing, developing, deploying, and analyzing models.
Present your insights and suggestions to audiences of all levels in the company.
Dedicatedly perform explorations of data and algorithms to improve our models.
Own the data quality of your projects including training, test and experiment data.
Research the best metrics; design and validate experiments to measure model performance.

Benefits

Competitive salary, equity, benefits, and perks for all full-time employees
Employer-paid medical, dental, and vision insurance (Country specific)
Retirement employer match
Learning & Development stipend to invest in your professional development
Turo host matching program
Turo travel credit
Cell phone and internet stipend
Paid time off to relax and recharge
Paid holidays, volunteer time off, and parental leave
For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities