Jobs / United States / Chime Financial INC
Senior Data Scientist, Organic Growth
Chime Financial INC · 🇺🇸 San Francisco, CA, USA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 81 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 20 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Chime Financial INC paid sponsored hires in similar roles5 certified filings for “Lead Data Scientist” (Data Scientists) in CA: $207k–$250k, median $245k. Most were filed at wage level IV (60%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Chime Financial INC
The US Department of Labor certified 81 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 20 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Chime Financial INC →
About the role
About the role We are hiring a Sr. Data Scientist, Organic Growth to help us understand how our investment in search, app store, and content surfaces drives member acquisition and long-term value. Unlike paid channels, organic growth compounds over time, is mediated by ranking algorithms we don't control, and carries no click-level cost signal — requiring a distinct measurement lens that accounts for paid–organic cannibalization, branded vs. non-branded intent, lagged and compounding returns, and the self-selected high intent of organic traffic. As our Sr. Data Scientist, Organic Growth, you will partner closely with the Organic Growth team to measure, optimize, and scale investment across SEO, ASO, and content. You will bring expertise in opportunity sizing, operational planning, and channel forecasting, helping the team plan confidently and allocate resources — content production, technical engineering work, and app store optimization — effectively. You will bring rigor to how we evaluate incrementally, attribution, and efficiency, moving us to a defensible view of what our organic investment actually delivers. In this role, you can expect to • Partner with Organic Growth to define KPIs and measurement frameworks across surfaces — SEO landing pages, content hubs, app store listings — and audiences • Size and scope organic growth initiatives in partnership with marketing, product, engineering, and finance: translating acquisition goals into expected traffic, conversion, and member volume, and the investment required to get there, while supporting operational planning for content and technical roadmaps • Build and maintain forecasting models for the organic channel, projecting impressions, sessions, install and signup volume, and downstream LTV under different investment scenarios, seasonality assumptions, ranking trajectories, and algorithm volatility • Develop attribution approaches that reconcile platform-reported performance (Google Search Console, App Store Connect, Google Play Console, web and app analytics) with observed member behavior, accounting for dark and direct traffic, branded vs. non-branded intent, and paid–organic overlap • Design and analyze SEO split tests, app store listing experiments (Google Play Experiments, Apple Product Page Optimization), geo experiments, and paid search holdouts to quantify incremental lift, cannibalization, and true impact vs. correlation • Build and maintain dashboards that give clear visibility into rankings and impression share, traffic, funnel conversion, blended CAC, and downstream LTV by surface, keyword cluster, and content type • Collaborate with Data Engineering to improve tracking, data quality, and the pipelines behind crawl, ranking, session, and conversion data • Translate complex analyses into clear, actionable recommendations for cross-functional leadership To thrive in this role, you have • 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 and opportunity sizing: comfortable working from business goals backward to estimate required investment, expected traffic and member volumes, and unit economics, with an understanding of how content and technical SEO/ASO work is operationally structured and executed • Forecasting experience for a marketing or growth channel: building models that project forward-looking performance and communicating forecast uncertainty and scenario sensitivity to cross-functional stakeholders • Strong experience designing and evaluating incrementality tests: SEO split tests, app store listing experiments, geo experiments, and paid holdouts • Working knowledge of causal inference methods includ