Senior Data Scientist
Senior Data Scientist role focusing on statistical modeling, experimentation, and ML to optimize an advertising marketplace. Partner with engineering and product teams to shape strategy and build a culture of evidence-based improvement.
Responsibilities
- Frame ambiguous business problems as crisp, testable data and modeling questions, and deliver analysis that informs product and commercial strategy
- Design and analyze experiments (A/B and beyond) and help establish centralized experimentation tracking
- Build statistical and ML models for audience segmentation, bid/UA optimization, lifetime value, and measurement/attribution
- Develop time-series and real-time event understanding that improves timeliness and relevance of recommendations and bidding
- Partner with ML and Data Engineering to productionize models and feed insights into the Next Best Action framework
- Communicate findings clearly to technical and executive audiences, and mentor other analysts and scientists
Requirements
- 8+ years in data science or quantitative analysis, ideally in AdTech, marketplaces, or consumer-scale products
- Strong foundations in experimental design, hypothesis testing, causal inference, and statistical/ML modeling (regression, classification, clustering, time-series)
- Fluency in SQL and Python (or R), and comfort working with large-scale data in cloud data warehouses / lakes
- Distinctive problem-solving skills and ability to translate analysis into business recommendations
- Excellent written and verbal communication, including ability to influence senior stakeholders
Nice to have
- Experience with Databricks, Spark, or semantic-layer / metrics platforms
- Background in bidding, auctions, recommendation, or measurement/attribution
- Experience standing up experimentation tooling or analytics infrastructure