Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
Lead a team to develop models that provide insights to help business and product leaders understand marketplace dynamics, customer value, user behaviors, fraud activities, and long-term trends
Hire, scale, and develop a team of data scientists
Establish robust processes to select models to pursue in partnership with the business, drive follow through, and establish an operating rhythm to revisit and retrain models
Collaborate with our machine learning engineering and data platforms teams on tooling and shared feature stores
Get hands on to deploy prototype models into production that customize product experiences
Evangelize data science techniques within the broader Analytics, Data Science, and Economics team and mentor others seeking to develop more advanced capabilities
What it takes to catch our eye:
A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
A strong track record of managing data science teams
Experience working with user segmentation, cohort analyses, mix modeling, random forest, regression models, and other advanced techniques
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Passion for getting into the details
Proficiency in Python
Previous experience in a two-sided marketplace or ecommerce business