Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $217,000–$303,900 / yr
- Posted
- 180 days ago
- Freshness
- Confirmed live 2 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 85% of similar roles. Most pay $140,000–$254,750 — the shaded band above. At the midpoint, this role pays about $260k versus about $197k 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 77 open roles on FindRole.
Listed pay typically runs $217,000–$303,400 across 77 roles with salary data.
Most-posted roles
- Software Engineer 19
- Data Scientist 8
- Machine Learning Engineer 5
- Frontend Engineer 4
- Machine Learning Systems Engineer 4
At a glance
TL;DR · Staff Data Scientist, Ads
Staff Data Scientist, Ads joins the Ads Data Science team to advance the intelligence powering the advertiser experience. This high-autonomy role involves taking ownership of measurement, identity, and signal quality to improve bidding efficiency and return on ad spend. You will develop probabilistic models for identity resolution, innovate experimental designs for brand and conversion lift products, and define evaluation frameworks to validate truth sets. The work focuses on solving complex problems in platform measurement, campaign management, and the intersection of brand and community engagement. Required skills include an advanced degree in a quantitative field, proficiency in Python or R and SQL, and expertise in machine learning, optimization techniques, causal inference, and A/B testing. You will collaborate with engineering and product teams to translate data insights into actionable strategies within the advertising ecosystem.
What does a Data Scientist earn in Remote?
Median $217225 from 40 postings across 18 companies.
Skills
What you'll do
- Develop and implement probabilistic models for identity resolution to link on-platform and off-platform actions.
- Own the statistical rigor and infrastructure for brand and conversion lift products.
- Innovate experimental designs to support high-velocity, low-bias testing for advertisers.
- Define strategies for new signal sources and mathematically quantify their value for predictive modeling.
- Design objective functions and truth sets to validate identity and measurement systems.
- Translate data insights into actionable goals for engineering, product, and sales teams.
- Mentor team members and establish technical best practices in modeling and experimentation.
What we're looking for
- Must have a Master's degree in Statistics, Mathematics, Physics, Economics, or Operations Research.
- For M.S. holders, 10+ years of industry experience in applied science or data science roles is required.
- For Ph.D. holders, 6+ years of industry experience in applied science or data science roles is required.
- Must possess a deep understanding of the advertising ecosystem.
- Must have expertise in measurement and experimentation at scale, identity graph creation, or predictive modeling with signal loss.
- Must be proficient in SQL and statistical programming languages like Python or R.
- Must have experience with machine learning, optimization techniques, causal inference, or A/B testing methodologies.
- Must possess strong communication skills and a track record of influencing product and engineering partners.
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