Data Scientist

Role Overview

The ideal candidate will enjoy wearing many hats, possess an economist’s mindset, and a strong ability to effectively translate business questions into tractable quantitative frameworks. They will excel at leveraging AI to build and scale robust, interpretable, and production-ready models/systems/tools.

What You Will Do

Collaborate with economists, analysts, and other data scientists to build and scale econometric/ML models and quantitative tools. Research and evaluate emerging tools and techniques, and identify novel data sources to leverage in quantitative work.

Why It Might Be a Fit

If you are passionate about leveraging data to shape the future of digital media, we encourage you to apply and be a part of our dynamic team.

Requirements

• Master’s degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD
• 2+ years hands-on work experience in an applied/industry setting using Python and SQL to work efficiently at scale with large data sets, constructing empirical analysis, modeling, and compelling data visualizations
• Experience formulating and solving loosely-defined optimization and/or measurement problems
• Familiarity with economic methods/reasoning – causal thinking, incentive design, counterfactual frameworks – and an eagerness to continue to learn new econometric methodologies
• Intellectual curiosity for what drives customer value and business outcomes
• Comfort leading ambiguous projects from zero-to-one

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave