# Staff Data Scientist, Marketing

**Company**: Reddit
**Location**: Remote - Ontario, Canada
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Category**: Marketing
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/reddit/jobs/7931000?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_31ba48a3-9c1

## Description

We're looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of our Marketing Intelligence efforts. As a Staff Data Scientist, you will be the primary architect of how we measure and optimize Reddit's marketing spend. You will focus on two critical flywheels: B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors).

In this role, you will set the long-term strategic goals for Reddit's marketing measurement, influencing senior leadership and defining how we value our 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 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.

## Skills

### Required
- Python
- R
- SQL
- Marketing Mix Modeling
- Incrementality Testing
- Customer Lifetime Value prediction
- Machine learning
- Predictive modeling
- Data pipelines
- Statistical rigor

### Nice to have
- Bayesian structural time series
- Causal inference libraries
- High-growth marketplace
- Social media platform

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/reddit/jobs/7931000?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)