Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 31 Oct 2026

Staff Data Scientist, Marketing Analytics

Chime San Francisco, CA Hybrid staff full-time

Salary

$152,000-$210,000 USD per year

Apply on Chime

Description

About the role

You will set the direction for how Chime measures the effectiveness of its marketing efforts. As the senior analytics leader for paid marketing, you will decide how to measure a large paid media budget and turn that measurement into spending decisions. This is a high-visibility role, and your work will be closely watched by Marketing, Growth, Finance, and executive leaders. You will join the Marketing Analytics team and work across multiple departments.

Responsibilities

  • Own the paid performance story, tracking spend and results across channels every week, and explain changes in simple terms.
  • Measure new-member offers, assessing whether they bring in better members and are worth the cost.
  • Set standards for experiments and offers, defining test design and evaluation criteria.
  • Improve marketing channel attribution, finding areas where current rules fall short and proposing better ones.
  • Use marketing mix modeling to advise on budget allocation across channels.
  • Help plan future work, estimating the impact of new marketing ideas.
  • Leverage AI tools to speed up analysis and build reusable components.
  • Mentor senior data scientists and guide contractors.

Requirements

  • Bachelor's degree and 10+ years of experience in analytics or data science, with deep experience in marketing, growth, or consumer products.
  • Proven track record of setting measurement strategy across multiple teams.
  • Deep expertise in marketing measurement, including attribution, incrementality, and marketing mix modeling.
  • Advanced skills in experimentation and causal inference.
  • Strong SQL and experience with large data warehouses (Snowflake).
  • Proficiency in Python or similar languages for analysis.
  • Experience using marketing mix model output to guide budget decisions.
  • Hands-on experience with AI tools in analytics.
  • Ability to influence VP-level and executive decisions.
  • Clear writing and speaking skills for senior, non-technical audiences.
  • Experience growing other senior data scientists' skills through mentorship.

What we offer

  • Competitive salary ($152,000-$210,000 USD).
  • Comprehensive health, financial, and wellbeing benefits.
  • Generous vacation policy and company-wide paid days off.
  • Opportunities for professional growth and development.
  • Flexible work arrangements (four days a week in the office, Fridays from home).
  • Backup child, elder, and pet care and subsidized commuter benefits.
  • Annual wellness stipend.
  • Paid parental leave.
  • Access to family planning reimbursement.

Skills

Required

  • marketing measurement
  • attribution
  • incrementality
  • marketing mix modeling
  • SQL
  • Python
  • Snowflake
  • AI tools
  • experiment design
  • causal inference

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/chime/jobs/8882465002

Apply on Chime