Responsibilities

• Work closely with product and marketing teams, as well as fellow researchers, to identify research topics and build a research roadmap; communicate and refresh on a regular basis to ensure relevancy.
• Create a deep understanding of customers through descriptive, inferential, and experimental approaches (existing or invented) that you identify as being most effective for answering a given business question.
• Design, implement, and analyze data from surveys, randomized experiments, and other large-n data sets.
• Work with data engineering and business intelligence teams to triangulate survey data with customer engagement and segmentation data.
• Create repeatable and scalable mechanisms to measure key customer metrics that drive product iteration.
• Synthesize a wide range of primary and secondary data types leading to focused, insightful, and actionable insights that persuade and inspire partners and leaders to take concerted, informed actions.
• Work closely with research peers to promote best practices, build resources, and train team members to enable them to execute their own research projects.

Requirements

• PhD, or Master's degree and 4+ years of quantitative field research experience
• Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
• Experience analyzing both experimental and observational data sets

Preferred

• Knowledge of R, MATLAB, Python or similar scripting language
• Experience with agile development
• Experience building web based dashboards using common frameworks
• Experience with AI/ML technologies

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
• parential leave