# Staff Data Scientist, Marketing

**Company:** [Reddit](https://hotfix.jobs/companies/reddit)
**Location:** Remote
**Role:** Data Science
**Salary:** $217k – $304k/yr
**Experience:** 6+ years
**Skills:** Python, R, SQL, Marketing Mix Modeling, Multi-Touch Attribution, Causal Inference, Incrementality Testing, Machine Learning, Bayesian Structural Time Series, Media Mix Models
**Posted:** 2026-05-05

> Leads strategy and technical execution for Reddit's marketing intelligence, building MMM and MTA systems to optimize B2B advertiser acquisition and B2C user growth. Requires advanced degree, 6-10+ years experience in marketing science/econometrics, and expertise in Python/R/SQL for causal inference and experimentation.

## Job Description

## 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 mathematically 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 deeply 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.

## Minimum Qualifications

**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.

## 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 an understanding of our unique \"Ads-as-Content\" philosophy.

## 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

**Base Salary Range:** $217,000—$303,900 USD (plus equity and benefits)

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