Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $217,000–$303,900 / yr
- Posted
- 175 days ago
- Freshness
- Confirmed live today
Market check
Salary context
How this pay compares to similar roles
This role pays more than 92% of similar roles. Most pay $152,768–$228,250 — the blue band above. At the midpoint, this role pays about $260k versus about $191k for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has 89 open roles on FindRole.
Listed pay typically runs $216,700–$303,000 across 89 roles with salary data.
Most-posted roles
- Software Engineer 27
- Machine Learning Engineer 10
- Product Manager 8
- Data Scientist 7
- Backend Engineer 3
At a glance
TL;DR · Staff Data Scientist, Marketing
The Staff Data Scientist, Marketing joins the Marketing Science team to lead the strategy and technical execution of marketing intelligence. This role involves architecting how the company measures and optimizes marketing spend across B2B advertiser acquisition and B2C user growth. Key responsibilities include defining long-term technical roadmaps, establishing North Star metrics, and building Media Mix Models and Multi-Touch Attribution systems to quantify incremental impact. The successful candidate will lead complex incrementality testing, geo-holdout experiments, and causal inference methodologies to measure brand halo effects. Required technical skills include advanced proficiency in Python or R and SQL, along with experience in production-grade data pipelines and machine learning for predictive modeling. The role solves the business problem of mathematically quantifying marketing ROI to drive efficient budget allocation.
What does a Data Scientist earn in Remote?
Median $216300 from 36 postings across 16 companies.
Skills
What you'll do
- Define the 2–3 year technical roadmap for marketing measurement and establish "North Star" metrics.
- Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to quantify marketing spend.
- Design unified frameworks to optimize marketing for both B2B advertiser acquisition and B2C user growth.
- 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.
- Translate complex data insights into actionable budget shifts for Marketing, Growth, and Finance teams.
- Mentor junior scientists and set the technical bar for code quality and statistical rigor.
What we're looking for
- Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
- 10+ years of industry experience in marketing science, growth data science, or econometrics for M.S. holders.
- 6+ years of industry experience in marketing science, growth data science, or econometrics for Ph.D. holders.
- Deep understanding of the marketing ecosystem, including Marketing Mix Modeling (MMM), Incrementality Testing, and LTV prediction.
- Advanced proficiency in Python or R and SQL.
- Experience building production-grade data pipelines and using machine learning for predictive modeling.
- Proven track record of influencing C-suite stakeholders and translating complex statistical concepts into business strategy.
- Experience with Bayesian structural time series or causal inference libraries (preferred).
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