Senior Data Scientist, Marketplace Product

Summit Health • San Francisco, CA

1d • Hybrid

About The Position

As a Senior Data Scientist on the Marketplace Product team, you will collaborate closely with diverse teams (including product managers, engineers, and fellow data scientists) to advance our understanding of the customer, make predictions to improve our products and experiences, and design and measure experiments. Our ideal candidate will be data-driven, intellectually curious, technically and statistically rigorous, and a clear communicator. As a Senior Data Scientist on the Marketplace Product team, you will collaborate closely with diverse teams (including product managers, engineers, and fellow data scientists) to advance our understanding of the customer, make predictions to improve our products and experiences, and design and measure experiments. Our ideal candidate will be data-driven, intellectually curious, technically and statistically rigorous, and a clear communicator.

Requirements

• Advanced degree in a quantitative field, and a minimum of 4 years of industry experience.
• 4+ years with exploratory data analysis, statistical analysis and testing, experiment design and model development, and knowledge of how to leverage these skills to solve complex business problems.
• Expertise in causal inference.
• Strong SQL skills
• Proficiency in Python.
• Experience with a data visualization tool.
• Ability to work collaboratively in a dynamic, team-based environment.
• Demonstrated ability to learn and embrace new technologies, applications, and solutions.
• Experience as a technical lead and a passion for mentoring.

Responsibilities

• Bringing strong technical expertise and develop a thorough understanding of our data to drive insights in the areas of customer acquisition, engagement, retention, and loyalty through causal inference and experimentation methods.
• Contributing to organizational maturity in data storytelling and best-in-class ML and statistical approaches.
• Designing product experiments to test business hypotheses, apply rigorous statistical analyses, and interpret the results to draw impactful insights, and contribute to the data science roadmap and priorities within your area of ownership.

Benefits

• Employees (and eligible family members) are covered by medical, dental, vision and more.
• Employees may enroll in our company’s 401k plan.
• Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave.
• Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees