
Advertising Services · 1.1k people
Senior Data Scientist
Posted 12 Oct
What’s this role about? You will partner with engineering and product teams to build statistical models and design experiments that optimize the marketplace. Your role involves translating ambiguous business problems into testable data questions to inform commercial strategy.
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Company
About Digital Turbine DT (NASDAQ: APPS) is unifying the mobile experience by connecting advertisers, app owners, and device partners through on-device integrations, direct app partnerships, and intelligence powered by the Ignite Graph and DT iQ - turning rich data into actionable insights and measurable performance while delivering the scale and performance of a walled garden without the walls. Our technology is live on more than 1 billion devices and embedded across 80K+ apps, reaching over a billion users each month and enabling growth across the mobile experience.
Digital Turbine
Unifying the full mobile experience, turning mobile moments into outcomes.

Responsibilities
- 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.
- 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
- optimization, lifetime value, and measurement/attribution
- Develop time-series and real-time event understanding that improves the
- timeliness and relevance of recommendations and bidding
- insights into the Next Best Action framework
- Communicate findings clearly to technical and executive audiences, and mentor
- other analysts and scientists
Qualification
Required
- 8+ years in data science or quantitative analysis, ideally in AdTech,
- marketplaces, or consumer-scale products
- 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
- influence senior stakeholders
Preferred
- 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
- DT (NASDAQ: APPS) is a mobile growth platform that powers superior experiences
- and outcomes for advertisers, app developers, carriers, OEMs, and publishers
- worldwide.
- Our technology connects brands and apps with consumers across devices, apps, and
- mobile environments — helping partners drive awareness, acquisition, engagement,
- and monetization through intelligent, integrated experiences.
- Headquartered in Austin, Texas, DT operates globally across North America, EMEA,
- APAC, and LATAM.
Benefits
- comprehensive benefits package designed to invest in your total well-being, all
- within a hybrid and flexible work environment.
- WE’RE ALWAYS ON THE LOOKOUT FOR GREAT ENGINEERING TALENT!
- WE WANT TO LEARN ABOUT YOUR PASSION AND SKILLS, AND FIND THE BEST MATCH FOR YOU.
- JOIN OUR TALENT COMMUNITY BY APPLYING HERE, AND LET’S STAY CONNECTED FOR ACTIVE
- AND FUTURE ROLES.
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