Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered.The RoleDigital Turbine has every ingredient of a marketplace business - advertisers, publishers, OEMs, carriers, consumers, devices, and proprietary device-level data. Our job in Data Science is to turn that raw advantage into intelligence: the insights, models, and experiments that optimize the marketplace and prove the value we create.
As a Senior Data Scientist, you'll partner with engineering, product, and business leaders to drive analysis that shapes strategy - from bidding efficacy and audience curation to measurement, attribution, and our centralized experimentation platform. You'll help DT build a culture of continuous, evidence-based improvement across every product surface.
About the Senior Data Scientist Role- 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 DT's centralized experimentation tracking - a single source of truth for hypotheses, results, 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 that improves the 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
About You as the Senior Data Scientist- 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 the ability to translate analysis into business recommendations
- Excellent written and verbal communication, including the 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
