Senior Data Scientist, Growth Product

Chime

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Salary: $185,000–$185,000 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $185k

$98k most similar roles pay here $233k

This role pays more than 65% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $185k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Chime

Chime is a financial technology company offering mobile-first banking services including fee-free checking accounts, savings accounts, and a secured credit builder card through partner banks. Industry: Financial Technology & Neobanking

Chime currently has 27 open roles on FindRole.

Listed pay typically runs $207,000–$207,000 across 26 roles with salary data.

Most-posted roles

View all roles at Chime

At a glance

TL;DR · Senior Data Scientist, Growth Product

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As a Sr. Growth Product Data Scientist at Chime, you will collaborate closely with the Growth Product and Engineering teams to drive measurable impact across member journeys from acquisition to long-term retention. Your responsibilities include designing and analyzing A/B tests, translating business questions into actionable recommendations, and fostering a data-driven culture by equipping PMs and engineers with self-service analytics tools. You will use advanced statistical methods for causal inference and forecasting, build metrics to measure user funnels and engagement, and develop high-quality event tracking for detailed user behavior analysis. The role requires expert-level SQL skills, proficiency in Python, and broad knowledge of applied statistics and machine learning techniques. Familiarity with data pipeline tools like dbt and AI coding tools is beneficial. This position demands a proactive approach to problem-solving and strong business intuition to influence product roadmaps and drive long-term value for Chime’s millions of members.

Skills

Python SQL dbt Hex Looker Airflow machine learning statistical methods A/B testing data pipelines data visualization experiment design advanced statistical methods time-series forecasting customer segmentation event tracking operational dashboards data storytelling

What you'll do

Design and analyze A/B tests to improve member product experiences.
Build metrics for user funnels, engagement, and retention to drive improvements.
Develop self-service analytics tools for PMs and engineers in the Growth org.
Use advanced statistical methods and machine learning for causal inference.
Translate complex analytical findings into executive-ready narratives for action.
Establish high-quality event tracking for detailed user behavior analysis.

What we're looking for

5-7 years of experience in product or business analytics roles, preferably in FinTech.
Expert-level proficiency in SQL and Python for data analysis.
Strong expertise in applied statistics, experimental design, and A/B testing analysis.
Proven ability to act as a trusted advisor to senior cross-functional partners.
Bias toward proactive problem discovery and initiative-driven approach.
Exceptional skills in data storytelling and visualization using tools like Hex and Looker.
Experience with building and improving data pipelines using dbt or similar tools.

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