Senior Data Scientist
On-siteNew York, United States
Job Summary
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) to establish a centralized tracking system for hypotheses and decisions. Build statistical and ML models for audience segmentation, bid/UA optimization, lifetime value, and measurement/attribution. Develop time-series and real-time event understanding to improve recommendation timeliness and relevance. Partner with engineering teams to productionize models and feed insights into the Next Best Action framework. Communicate findings clearly to technical and executive audiences while mentoring other analysts. This role requires 8+ years of experience in data science or quantitative analysis, ideally within AdTech or marketplaces.
Required Qualifications
- 8+ years in data science or quantitative analysis
- 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)
- Comfort working with large-scale data in cloud data warehouses / lakes
- Distinctive problem-solving skills and the ability to translate analysis into business recommendations
- Excellent written and verbal communication, including the ability to influence senior stakeholders
- Local to the posting location
Desired Qualifications
- Experience in AdTech, marketplaces, or consumer-scale products
- 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
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