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New York, New York, United States
Hybrid
At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.
Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered.
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.
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
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
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 (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.
The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets.
We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024.
Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators.
Digital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice.