Staff Data Scientist, Marketing

at Reddit

📍 United States

USD 217,000-303,900 per year

MIDDLE SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

B2B Marketing Communication @ 5 Data Pipelines @ 3 Data Science @ 7 Experimentation GEO Leadership @ 5 Machine Learning @ 3 Marketing @ 3 Mathematics Python @ 5 R @ 5 SQL @ 5 Statistics

Details

Reddit is looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of its Marketing Intelligence efforts. In this role, you will be the primary architect of how Reddit measures and optimizes its marketing spend, focusing on B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors). This is a high-autonomy, high-impact role where you will set the long-term strategic goals for Reddit’s marketing measurement, influence senior leadership, and define how Reddit values brand and performance efforts.

Responsibilities

Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget.
Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to quantify the incremental impact of marketing spend.
Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other.
Advance Causal Inference & Experimentation: Lead the design of complex "always-on" incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term "halo effect" of brand marketing on organic growth.
Lead Through Influence: Collaborate with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.
Be the Technical Guide for the Team: Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.

Requirements

Education: Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
Experience:
- For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics.
- For Ph.D. holders: 6+ years of industry experience.
Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.
Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring).
Strategic Communication: Proven track record of influencing C-suite stakeholders and translating complex statistical concepts into business strategy.
Adaptability: Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up.

Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave