Manager, Data Science (Marketing)

San Francisco, CA (Hybrid)

$202K/yr – $303K/yrSenior Level8+ years expFull time

Posted 2 hrs ago

Job Summary

Own and drive the application of data science to marketing, growth, and revenue optimization, leading experimentation, forecasting, and spend allocation while shaping the strategy and infrastructure for scalable marketing analytics.

  • Lead experimentation, causal inference, and attribution modeling efforts to optimize campaigns and growth planning.
  • Guide forecasting, budgeting, and resource allocation models alongside data platform and storytelling initiatives.

Job Description

Requirements

  • 8+ years of experience in data science roles with direct impact on marketing, growth, or revenue optimization.
  • Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research or related), or equivalent applied experience.
  • Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization). (Please note, advance python and SQL proficiency will be tested during the interview process for this position.)
  • Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling, and attribution models.
  • Proven success in forecasting, optimization, and budget allocation models for marketing and growth functions.
  • Hands-on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau, or equivalent).
  • Strong data storytelling and executive presentation abilities.
  • Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations.
  • Experience developing senior data scientists and elevating team practices.
  • Demonstrated ability to define a strategic vision for applied data science in marketing, balancing rapid experimentation with long-term infrastructure investments.

Preferred

  • Familiarity with experimentation and web/mobile analytics platforms (Optimizely, GrowthBook, Google Analytics, Amplitude).
  • Experience integrating with marketing APIs (Google, Meta, programmatic platforms) for campaign optimization.
  • Prior exposure to generative AI or LLMs in marketing use cases (e.g., personalization, targeting, creative analysis).
  • Knowledge of multi-arm and contextual bandit algorithms for adaptive experimentation and continuous marketing optimization.
  • Familiarity with ML ops practices: version control, model monitoring, scalable ETL frameworks.

Benefits

  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
  • Community Engagement: Make a difference through our volunteering program.
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GoFundMe

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Founded in 2010
Redwood City, California, USA
1.2K employees (130 in marketing)

Salaries

Posted range

$202K/yr – $303K/yr

Taken straight from the job posting.

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Manager, Data Science (Marketing)

GoFundMe · San Francisco, CA · Hybrid