Develop a thorough understanding of our data
Build predictive models and optimization algorithms to capture opportunities and solve problems. Common applications include modeling the optimal number of workers to acquire in a given market, dynamic pricing recommendations, and worker-shift recommendation and matching algorithms.
Collaborate with other members of the Data Science, Economics, and Engineering teams on ways to approach problems, augment code, and share new techniques
Work with functional team leads (in Product, Operations, Marketing, etc.) to explain your analysis, findings, and recommendations
Find opportunities for improvement across the business and assist in decision-making across teams

At least 2 years of experience with machine learning, predictive modeling, and/or optimization techniques
Proficient knowledge of Python and SQL, with the ability to automate data workflows and write production-ready code for offline and online inference
Working knowledge of statistics, probability, and experiment design
Self-starter able to drive projects to completion who is excited to be on a startup’s founding team
Communicates effectively with both technical and non-technical colleagues
Passion for using data science to solve real-world problems and improving economic opportunities for hourly workers

Data Scientist

Key skills