Senior Data Scientist, Ads at Reddit
$190,800–$267,100
Aug 11, 2026
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Sep 24, 2026
What this job asks for AI summary
A Senior Data Scientist role on Reddit's Ads Data Science team, focused on building and applying machine learning models and statistical methods to improve advertiser experience and ad platform performance. The work spans anomaly detection, prediction, causal inference, and large-scale data analysis, in close collaboration with product managers and engineers. Suits an experienced applied scientist with a background in ads or digital advertising ecosystems.
Senior level · 4+ years · Remote · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 900 people nationally plausibly meet what this posting asks for (data scientists). range 540–1,600
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 13, 2026. It is a model, not a headcount.
Why we read it this way (7)
The degree requirement is a hard gate: a Master's or Ph.D. in a quantitative field is explicitly required. Because a Master's is the lower of the two accepted degrees, the degree requirement is set to Masters.
Total experience minimum is 4 years (the lower bound stated for Ph.D. holders); M.S. holders are required to have 5+ years. The 4-year figure is used as the floor.
Spark is listed as the primary large-scale data processing tool, with Hadoop and Hive named as interchangeable alternatives in the same requirement; BigQuery is explicitly called out as a 'plus' and is marked preferred.
Causal inference and A/B testing appear both in the required qualifications section and again under Bonus Points. The required-section mention is treated as the governing gate; the Bonus Points mention is noted but does not change the classification.
Ad tech / online advertising experience appears only under Bonus Points and is marked preferred.
'Platform experience and a deep understanding of the ads ecosystem' is stated as a required qualification but names no specific technology or tool, so it is omitted from the skills list per extraction rules.
No compensation figures are provided in the posting.
Read the full posting
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