Senior Data Scientist, Lending

Chime

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

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Similar $164k

$107k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $129,843–$198,312.

Based on 240 similar postings.

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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 33 open roles on FindRole.

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TL;DR · Senior Data Scientist, Lending

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As a Sr. Product Data Scientist at Chime, you will collaborate closely with the Lending Product, Engineering, Risk, and Finance teams to drive strategic impact across liquidity and credit products like MyPay, Instant Loans, SpotMe, and Line of Credit. Your daily tasks include designing and analyzing A/B tests, translating business questions into actionable insights, and connecting member liquidity outcomes to key metrics such as revenue and losses. You will build a robust experimentation program, apply advanced causal inference methods, and create self-service analytics tools for PMs and engineers. This role requires expertise in SQL, Python, and machine learning techniques, along with strong data storytelling skills and experience with data visualization tools like Hex and Looker. The position demands proactive problem-solving and the ability to influence senior stakeholders through data-driven recommendations.

Skills

Python SQL Hex Looker dbt Airflow ML A/B testing Causal inference Time-series analysis Forecasting Experiment design Data visualization Analytics Risk management CI/CD

What you'll do

Design and analyze A/B tests for Chime's liquidity and credit products.
Translate business questions into clear, prioritized recommendations that drive product decisions.
Own metrics across the lending funnel to inform experiments and strategy.
Apply advanced causal inference methods to solve lending-related problems.
Equip PMs and engineers with self-service analytics tools for data-driven decision-making.
Define high-quality event tracking standards for member behaviors in Chime's app.

What we're looking for

5-7 years of relevant hands-on experience in product or business data science.
Expert-level SQL skills and proficiency in Python.
Broad knowledge of applied statistics, experimental design, and A/B test analysis.
Experience as a trusted advisor to senior cross-functional partners.
Proactive problem discovery and pattern recognition skills.
Strong business intuition and judgment with prioritization framework experience.
Exceptional data storytelling and visualization abilities.

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