Quick summary
- Work type
- On-site
- Location
- San Francisco, CA
- Salary
- $152,000–$210,000 / yr
- Posted
- 5 days ago
- Freshness
- Confirmed live today
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 53% of similar roles. Most pay $141,562–$215,737 — the blue band above. At the midpoint, this role pays about $181k versus about $179k 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 40 open roles on FindRole.
Listed pay typically runs $164,000–$251,500 across 40 roles with salary data.
Most-posted roles
- Software Engineer 17
- Tech Lead Manager 4
- AI/ML Engineer 2
- Product Manager 2
- Application Security Engineer 1
At a glance
TL;DR · Staff Data Scientist, Marketing Analytics
JOB TITLE: Staff Data Scientist, Marketing Analytics As a Staff Data Scientist, Marketing Analytics, you will join the Marketing Analytics team to serve as the senior analytics leader for paid marketing. You will own the paid performance story by tracking weekly spend, explaining movements to non-technical stakeholders, and determining how measurement translates into spending decisions. Your daily work involves measuring new-member offers, defining experiment designs, and improving attribution rules. You will use Marketing Mix Model outputs to provide budget advice and estimate the impact of new marketing ideas. The role requires deep expertise in incrementality, cost per acquisition, and LTV:CAC. You will utilize SQL, Snowflake, and advanced Python to shape data models and pipelines while incorporating AI tools to accelerate analysis and mentor other senior data scientists.
What does a Data Scientist earn in California?
Median $214500 from 114 postings across 26 companies.
Skills
What you'll do
- Track weekly spend and results across paid marketing channels and explain performance to non-analysts.
- Measure new-member offers to determine if they bring in high-quality members at a worthwhile cost.
- Define the design and evaluation standards for marketing experiments and sign-up offers.
- Improve marketing attribution rules and work with Data Engineering to build and maintain them.
- Provide budget allocation advice to the Marketing team based on Marketing Mix Model outputs.
- Estimate the likely impact of new marketing ideas to help the team prioritize future work.
- Use AI tools to accelerate analysis, verify work, and build reusable assets for the team.
- Coach senior data scientists and set the quality bar for high-stakes analytics projects.
What we're looking for
- A Bachelor’s degree and 10+ years of experience in analytics or data science.
- Deep experience in marketing, growth, or consumer products.
- Track record of setting measurement strategy across several teams.
- Deep expertise in marketing measurement including attribution, incrementality, MMM, CPA, and LTV:CAC.
- Expert-level experimentation and causal inference skills.
- Strong SQL skills and experience shaping data models and pipelines in Snowflake.
- Advanced Python or a similar language for analysis.
- Experience using Marketing Mix Model output to guide budget decisions at significant scale.
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