Staff Data Scientist, Marketing Analytics

Chime Financial, Inc • San Francisco, CA

3h • $152,000 - $210,000 • Hybrid

About The Position

The Staff Data Scientist, Marketing Analytics will set the direction for how Chime measures which marketing efforts attract new members and which bring in members who remain active. As the senior analytics leader for paid marketing, this person will determine how a large paid media budget is measured and how measurement informs spending decisions. The role is high visibility, and its work will serve as a key reference for Marketing, Growth, Finance, and executive leaders. The position is part of the Marketing Analytics team and partners across Marketing, Finance, Data Engineering, and Data Science/ML.

The role owns paid marketing performance reporting, evaluates new-member offers, sets standards for experiments, improves marketing attribution, and translates Marketing Mix Model outputs into budget recommendations. It also helps estimate the likely impact of future marketing ideas, applies AI tools to make analytics work faster and more reusable, and raises the quality of team work through coaching, contractor guidance, and quality standards.

Chime’s in-office policy is four days per week in the office and Fridays from home for employees near an office; the company also has a fully remote program. The listed salary range is $152,000–$210,000 USD. Full-time employees may also be eligible for bonuses, equity, and benefits.

Requirements

• Bachelor’s degree and 10+ years of experience in analytics or data science, with deep experience in marketing, growth, or consumer products.
• Track record of setting measurement strategy across multiple teams, beyond delivering analyses within one team.
• Deep expertise in marketing measurement, including attribution, incrementality, Marketing Mix Modeling, cost per acquisition, and LTV:CAC, including designing measurement systems from scratch.
• Expert-level experimentation and causal inference skills, including the ability to develop suitable approaches when standard methods do not fit.
• Strong SQL skills and experience shaping data models and pipelines in large data warehouses; Chime uses Snowflake.
• Advanced Python or a similar language for analysis.
• Experience using Marketing Mix Model outputs to guide budget decisions at significant scale.
• Hands-on experience introducing AI tools into a team’s analytics work and sound judgment about their limitations.
• Experience influencing VP-level and executive decisions without formal authority, including resolving disagreements among stakeholders.
• Clear written and verbal communication for senior, non-technical audiences.
• Track record of developing other senior data scientists through mentorship, frameworks, and shared tools.
• Comfort defining both the question and the approach for unprecedented problems.

Responsibilities

• Track paid marketing spend and results across channels weekly, explain changes clearly, and provide actionable performance reporting.
• Measure whether new-member offers attract better members and are worth their cost, including comparing offer groups with fair, matched groups.
• Define standards for the design and interpretation of experiments and for evaluating the value of sign-up offers.
• Identify shortcomings in marketing attribution rules, propose improvements, and partner with Data Engineering to build and maintain attribution systems.
• Use Marketing Mix Model outputs to advise Marketing on channel budget allocation.
• Estimate the likely impact of proposed marketing ideas to help the team prioritize work.
• Use AI tools to accelerate and deepen analysis, check work, and build reusable tools for others.
• Coach senior data scientists, guide contractors, and set the quality bar for high-stakes work.

Benefits

• Eligible full-time employees may receive bonuses and competitive equity.
• Backup child, elder, and pet care.
• Subsidized commuter benefits for eligible employees.
• Comprehensive health, financial, and wellbeing benefits.
• Generous vacation policy and company-wide paid days off.
• Paid time off to support local community organizations, equal to 1% of time off.
• Annual wellness stipend for eligible wellness-related expenses.
• Up to 22 weeks of paid parental leave for birthing parents and 12 weeks for non-birthing parents.
• Family planning reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior