Senior Data Scientist, Organic Growth

Chime

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Posted
6 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $167k
$105k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $129,302–$204,400.

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 38 open roles on FindRole.

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At a glance

TL;DR · Senior Data Scientist, Organic Growth

Senior Data Scientist, Organic Growth joins the Organic Growth team to measure, optimize, and scale investments across SEO, ASO, and content surfaces. This role focuses on solving complex measurement challenges inherent in organic channels, such as identifying paid-organic cannibalization, distinguishing branded versus non-branded intent, and accounting for lagged returns. You will build forecasting models for impressions and LTV, design incrementality tests like geo experiments and holdouts, and develop attribution frameworks to reconcile platform data from Google Search Console and App Store Connect with actual member behavior. The ideal candidate possesses advanced SQL skills, proficiency in Python or R, and experience with tools like Looker or Tableau. You will translate complex analyses into actionable recommendations for cross-functional leadership while collaborating with Data Engineering to improve tracking pipelines for crawl, ranking, and conversion data.

What does a Data Scientist earn in California?

Median $213756 from 69 postings across 25 companies.

See salary data

What you'll do

  • Define KPIs and measurement frameworks for SEO landing pages, content hubs, and app store listings.
  • Size and scope organic growth initiatives by translating acquisition goals into expected traffic, conversion, and member volume.
  • Build and maintain forecasting models to project impressions, sessions, and LTV under various investment scenarios.
  • Develop attribution models that reconcile platform data with user behavior while accounting for paid-organic overlap.
  • Design and analyze SEO split tests, app store experiments, and geo experiments to quantify incremental lift.
  • Create dashboards to provide visibility into rankings, impression share, funnel conversion, and blended CAC.
  • Collaborate with Data Engineering to improve tracking, data quality, and pipelines for crawl and ranking data.
  • Translate complex analytical findings into actionable recommendations for cross-functional leadership.

What we're looking for

  • 5+ years of experience in organic growth channels (SEO, ASO, content) and in marketing, growth, or product analytics.
  • Experience in FinTech (preferred).
  • Experience with organic growth planning, opportunity sizing, and translating business goals into required investment and volume estimates.
  • Experience building forecasting models for marketing or growth channels to project performance and communicate uncertainty.
  • Strong experience designing and evaluating incrementality tests including SEO split tests, app store experiments, geo experiments, and paid holdouts.
  • Working knowledge of causal inference methods, experiment design, and techniques for separating incremental demand from cannibalized demand.
  • Advanced SQL skills and proficiency in Python or R for analysis and modeling.
  • Experience working with organic platform data sources (Google Search Console, App Store Connect, Google Play Console) and building dashboards in Looker or Tableau.

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