Senior Data Scientist, Ads
$191K–$267K
Remote - United States · Remote · Senior · Full-time · Posted Aug 12, 2026
- Experience
- For M.S. holders: 5+ years of industry experience in applied science or data science roles. For Ph.D. holders: 4+ years.
- Education
- Advanced degree (Masters or Ph.D.) in a quantitative field.
About the job
Develops and applies data science and machine learning methods to improve advertiser experience and Reddit’s advertising platform, using data-driven insights and collaboration with product and engineering teams.
What you'll do
- Design and apply data science solutions to improve advertiser experience and the ad platform; analyze large datasets for useful insights.
- Develop machine learning models and methods for anomaly detection, prediction, and pattern recognition; communicate findings to stakeholders.
- Partner with product managers and engineers on requirements and solutions, and mentor junior data scientists.
What they ask for
- Advanced degree (Master’s or Ph.D.) in a quantitative field such as Statistics, Mathematics, Physics, Economics, or Operations Research.
- Platform experience and a deep understanding of the ads ecosystem.
- Strong understanding of statistical modeling, machine learning algorithms, causal inference, and experimental design.
- Experience with large-scale data processing and analysis, Python or R, machine learning libraries, SQL, and relational databases.
Nice to have
- Knowledge of BigQuery.
- Experience with online advertising and ad tech; causal inference and A/B testing; or open-source contributions or relevant publications.
Pay
$190,800 — $267,100 USD (base salary)
Tools
Spark, Hadoop, Hive, BigQuery, Python, R, scikit-learn, TensorFlow
AI focus
Develop machine learning models and data science methods for anomaly detection, prediction, and pattern recognition. AI may also be used to record, transcribe, and summarize interviews in select roles and locations; candidates may opt out.
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