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# Senior Data Scientist

- **Company:** Digital Turbine, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Cloud Database, Cluster Analysis, Information Engineering, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Apache Spark, Databricks
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-ny--b73861e7-4550-4a0a-9fd7-92e701858642

## About the Role

Data Science, Software Development, Ecosystems, Mobile Devices, Data Science, Analysis Skills, Bidding, Data Modeling, Product Strategy, Experiment Design, * 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

## Description

DT 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., * 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