Staff Data Scientist, Marketing Analytics

Chime Financial•San Francisco, CA
•$152,000 - $210,000•Hybrid

About The Position

Chime is hiring a senior analytics leader for paid marketing on its Marketing Analytics team. The role sets the direction for measuring the performance of a large paid media budget and translating measurement into spending decisions. The position works across Marketing, Growth, Finance, Data Engineering, and Data Science/ML, and its work serves as a key reference for marketing performance among senior and executive leaders. The Staff Data Scientist owns the paid marketing performance story, including weekly channel spend and results reporting, clear explanations of performance changes, and measurement of sign-up offers. The role establishes standards for experiments and offer evaluation, improves marketing attribution in partnership with Data Engineering, uses Marketing Mix Model outputs to inform channel budgets, and estimates the potential impact of new marketing ideas. It also applies AI tools to improve analytics work and reusable processes, and raises team quality through mentorship of senior data scientists and guidance for contractors. Chime is a financial technology company focused on helping members make financial progress. This is a full-time position. The listed base salary range is $152,000–$210,000 USD; full-time employees may also be eligible for bonuses, equity, and benefits. The role follows Chime’s in-office policy of four days per week in the office and Fridays from home for people near an office, while the company also has a fully remote program.

Requirements

  • Bachelor’s degree.
  • 10 or more 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.
  • Deep expertise in marketing measurement, including attribution, incrementality, marketing mix modeling (MMM), cost per acquisition, and LTV:CAC; experience designing these systems from scratch.
  • Expert-level experimentation and causal inference skills, including developing approaches when standard methods are unsuitable.
  • 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 output to guide budget decisions at significant scale.
  • Hands-on experience bringing AI tools into a team’s analytics work, with sound judgment about their limitations.
  • History of 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 approach for unprecedented problems.

Responsibilities

  • Own the paid marketing performance story and track spend and results across channels weekly.
  • Explain changes in marketing performance in clear, actionable language for non-analysts.
  • Measure sign-up offers and determine whether they bring in higher-quality members and are worth their cost.
  • Compare offer groups against fair, matched groups.
  • Define standards for test design and interpretation, and determine whether sign-up offers are worth their cost.
  • 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 budget allocation across channels.
  • Estimate the likely impact of new marketing ideas to help prioritize work.
  • Use AI tools to accelerate analysis, validate work, and build reusable resources.
  • Coach senior data scientists, guide contractors, and set quality standards 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.
  • One percent of time off to support local community organizations.
  • Annual wellness stipend for eligible wellness expenses.
  • Up to 22 weeks of paid parental leave for birthing parents and 12 weeks for non-birthing parents.
  • Family planning reimbursement.
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