• MS degree or related experience in a production setting
• 5+years experience in data science projects
• Knowledge in applied statistical methods and causal inference (e.g., AB testing, hypothesis testing, linear and logistic regression)
• Experience with modern predictive modeling techniques (XGBoost, artificial neural networks)
• Experience with Python or R and SQL
• Strong Machine Learning experience

Desirable

• As a Data Scientist, you'll leverage technical and business acumen to become an expert in our models and how the models interact with the business
• Identify potential problems or opportunities for improvement, communicate these issues to the team, stakeholders and suggest solutions
• This involves self-directed investigation into our business and its data, designing and preparing regular reports, as well as conducting ad hoc analyses for the Machine Learning team, company leadership, and external business partners
• By presenting reports to key stakeholders and decision makers on model performance and how it impacts the business. Oftentimes this person will report directly to corporate executives
• By finding issues with the models before they have a chance to impact our business
• By analyzing experimental data to uncover heterogeneous effects and recommend opportunities for personalized interventions
• By collaborating with research scientists to build and evaluate novel models and modeling applications
• By writing clear, bug-free, and well documented code that runs well and is easy to understand