Senior Data Scientist - Marketplace Optimization

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers --- we are constantly iterating and innovating our product offering to create more value for the ecosystem.

You’ll work on a diverse set of problems such as optimizing reverse logistics and freight costs, determine optimal pricing for products on resale channels, compute optimal credit limits, and grow Faire’s subscription program. You will be working closely with other data scientists, engineers, and product managers to drive projects that derive value from our unique, rich, and rapidly growing data on two sided marketplace.

What you will be doing:

• Leverage machine learning to optimize Faire’s membership program by maximizing subscription enrollment while minimizing the program cost.
• Modeling and forecasting demand and supply to enable optimal pricing strategies to help increase Faire’s resale channel sales.
• Improve Faire’s credit portfolio by evaluating creditworthiness of retailers on Faire’s platform; use predictive modeling to dynamically assign credit limits that minimize default risk and maximize growth.

What it takes:

• An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc.
• 3+ years of experience using predictive modeling and analyses to solve real world problems with large datasets
• Resourcefulness and proactiveness: track record for executing independent projects and leading complex, multi-functional projects with several dependencies.
• Strong communication skills: can effectively and patiently work with others in a closely collaborative team environment and evangelize experimentation to the organization. 
• Proficiency with Python / R and SQL.
• Strong communication skills and the ability to work with others in a closely collaborative team environment.
• Prior experience solving data problems in two-sided marketplaces is a big plus.