8+ years in data science or quantitative analysis, preferably in AdTech or consumer-scale products.
Strong background in experimental design and statistical/ML modeling techniques.
Proficient in SQL and Python (or R) for data manipulation and analysis.
Distinctive problem-solving skills for transforming data insights into actionable business strategies.
Excellent communication skills for influencing stakeholders at all levels.
Responsibilities
Frame business challenges as clear data questions to drive strategic analysis.
Design and analyze A/B tests and manage a centralized experimentation tracking system.
Build statistical and machine learning models for audience segmentation and bid optimization.
Enhance real-time event understanding for timely recommendations.
Collaborate with engineering teams to implement and operationalize models.
Present insights effectively to technical and executive teams, along with mentoring peers.
Benefits
Hybrid work environment with flexible scheduling options.
Opportunity to shape data-driven strategies at a leading market-based company.
Collaborative team culture focused on continuous improvement and innovation.
Access to large-scale data and cutting-edge machine learning technologies.
Full Job Description
Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered.
The Role
Digital 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
About Digital Turbine
Digital Turbine, Inc. is a mobile software company that delivers products and solutions for mobile operators, device OEMs, and third-party advertisers. The company's products include Ignite, a mobile device management solution, and SingleTap, a mobile advertising platform. Digital Turbine was founded in 1998 and is headquartered in Austin, Texas.
