Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Marketing @ 7
Python @ 7
SQL @ 7
R @ 7
Statistics @ 4
Machine Learning @ 7
Data Science @ 7
Leadership @ 6
Mathematics @ 4
B2B Marketing @ 4
Experimentation @ 7
AI @ 4
Data Pipelines @ 7
- 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.
Details
Reddit is a community of communities. The Marketing Science team leverages data to maximize the impact of Reddit’s marketing investments, using advanced experimentation, causal inference, and econometrics to understand what drives users to Reddit and what brings advertisers to the platform.
Role description
You will lead the strategy and technical execution of Marketing Intelligence efforts, acting as the primary architect for how Reddit measures and optimizes marketing spend across B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors). This is a high-autonomy, high-impact role that sets long-term strategic goals for marketing measurement and influences senior leadership.
Responsibilities
- Define the 2–3 year technical roadmap for marketing measurement and establish North Star metrics and frameworks for marketing budget allocation.
- Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to quantify incremental impact of marketing spend.
- Design unified frameworks to optimize marketing for both advertisers and users, identifying synergies between brand and performance efforts.
- Lead design of complex always-on incrementality testing and geo-holdout experiments; develop methodologies to measure long-term halo effects of brand marketing on organic growth.
- Collaborate with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.
- Mentor junior scientists and set technical standards for code quality and statistical rigor across the Marketing organization.
Minimum qualifications
- Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
- Experience: for M.S. holders: 10+ years in marketing science, growth data science, or econometrics; for Ph.D. holders: 6+ years of industry experience.
- Domain expertise with hands-on experience in 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).
- Proven ability to influence senior stakeholders and translate complex statistical concepts into business strategy.
- Experience working in fast-paced environments and building measurement frameworks from the ground up.
Preferred qualifications
- Experience with Bayesian structural time series or causal inference libraries.
- Previous experience in a high-growth marketplace or social media platform.
- A passion for the Reddit community and understanding of Reddit’s "Ads-as-Content" philosophy.
Benefits
- Comprehensive healthcare benefits and income replacement programs
- 401(k) with employer match
- Global benefit programs (workspace, professional development, caregiving support)
- Family planning support and gender-affirming care
- Mental health & coaching benefits
- Flexible vacation & paid volunteer time off
- Generous paid parental leave
Pay transparency
Base salary range for U.S.-based candidates: $217,000 - $303,900 USD. In addition to base salary, this role is eligible for equity (RSUs) and, depending on position, may be eligible for commission. Final offers vary based on skills and experience.
Additional notes
- Location: Remote - United States. Reddit is remote friendly for this role.
- Interview recordings: some interviews may be recorded, transcribed, and summarized by AI; candidates may opt out prior to scheduled interviews. The posting describes categories of personal information collected during interviews and references Reddit's Candidate Privacy Policy.