Data Scientist, Growth Product

Chime

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Salary: $150,000–$150,000 / 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 $156k

This role $150k

$89k most similar roles pay here $196k

This role pays less than 53% of similar roles. Most pay $126,800–$184,900 — the shaded band above. At the midpoint, this role pays about $150k versus about $156k 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 · Data Scientist, Growth Product

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As a Growth Product Scientist at Chime, you will join the dynamic Growth Product and Engineering teams as a mid-level professional to drive significant impact across member journeys from acquisition to long-term retention. Your daily tasks include designing and analyzing A/B tests, creating self-service analytics tools, and translating complex data into actionable insights for product managers and engineers. You will work closely with cross-functional teams to foster a data-driven culture, advise on product roadmaps, and build detailed user behavior tracking within Chime’s mobile app. The role requires expertise in SQL and Python, experience with A/B testing and statistical methods, and the ability to communicate technical concepts clearly. Familiarity with FinTech is beneficial, as well as hands-on experience with data pipelines using tools like dbt or Airflow.

Skills

Python SQL dbt Airflow Kubernetes AWS RICE Eisenhower matrix Prometheus Grafana CI/CD

What you'll do

Design and analyze A/B tests to enhance member product experiences.
Develop frameworks to prioritize high-leverage experiments for growth initiatives.
Build dashboards and KPIs to provide clear insights into funnel health.
Use advanced statistical methods to solve complex product questions.
Translate complex analyses into actionable recommendations for executive teams.

What we're looking for

3-5 years of hands-on experience in product or business analytics roles, preferably in FinTech.
Expert-level proficiency in SQL and Python for data analysis.
Experience designing and analyzing A/B tests with a solid understanding of statistical concepts.
Proven ability to influence senior cross-functional partners through data-driven insights and judgment.
Bias toward proactive problem discovery and applying prioritization frameworks like RICE or Eisenhower matrix.
Strong written and verbal communication skills to translate technical concepts for non-technical stakeholders.
Familiarity with building data pipelines using tools such as dbt or Airflow.

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