Sr. Data Scientist I - User Growth

Role overview

Use behavioral and product data to help improve user acquisition, engagement, retention, and conversion across consumer-facing digital experiences. This senior individual contributor will turn open-ended business questions into analysis, experiments, and predictive models, then work with product, engineering, and business leaders to shape decisions and growth strategy.

Responsibilities

- Analyze user journeys and behavior to identify customer needs, engagement patterns, and opportunities to improve conversion and retention. - Develop behavioral segments and user profiles that clarify differences across customer groups. - Design and evaluate A/B tests, multivariate experiments, and market-level tests; define success measures and guardrails. - Apply causal inference and incrementality methods to estimate the impact of product, marketing, and business changes. - Build statistical and forecasting models to anticipate user behavior and likely business outcomes. - Communicate findings as clear recommendations, collaborate across functions, and help establish sound measurement practices.

Requirements

- At least five years of data science experience using product or user data, with demonstrated impact on consumer products at scale. - At least three years of hands-on statistical modeling in Python or R. - Strong experimentation and causal inference skills, including test design, power and sample size calculations, sequential testing, and quasi-experimental methods. - Strong statistical modeling skills in areas such as regression, segmentation, and forecasting. - Expert SQL skills, with strong data analysis, visualization, and Excel capabilities. - A bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field; strong communication and cross-functional collaboration skills.

Nice to have

- An advanced degree, Tableau experience, or experience with Python-based data processing and ETL. - Practical use of AI tools in analytics, with measurable gains in analytical speed, quality, or productivity.

Benefits and work setup

- Hybrid work with in-office days on Tuesdays and Wednesdays in Seattle or Detroit and remote work on other days. Remote-only candidates may be considered if they live outside the specified office areas. - The posting lists a compensation range of $127,600–$161,100 and potential eligibility for incentives and benefits, including medical, dental, vision, retirement, and paid time off.