Staff Data Scientist / Machine Learning Engineer, Faire

• 5+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (personalization, incentives, e-commerce, CRM)
• Experience with relevant technical methods (unsupervised learning, NLP, LLMs, causal ML)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to contribute to team strategy and to lead model development without supervision
• Experience as a tech lead, mentoring other data scientists / machine learning engineers
• Strong communication skills and the ability to work in a highly cross-functional team

Desirable

• At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive
• As a tech lead within the Retailer Growth Data Science team, you will develop ML systems that help activate new retailers and increase their engagement
• Drive data science vision, strategy, and execution within Retailer Growth, using ML solutions to activate and engage more retailers on the platform
• Work with cross-functional stakeholders to develop end-to-end product solutions
• Mentor senior data scientists on Retailer Growth
• Use ML/AI to extract insights about retailers that can be used to personalize their first run experience at scale
• Optimize marketing and incentive spend through targeting and personalization
• Use experimentation and causal inference methods to measure the effectiveness of spend levers
• Solve challenging problems related to a two-sided marketplace
• Our team already includes experienced Data Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning engineers, and you will help take us there!