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Digital Turbine
Digital Turbine
501 – 1,000 Employees
H1B Visa SponsorMarketingSaaSTelecommunications

Digital Turbine is a mobile growth platform serving app developers, brands, mobile carriers, and device manufacturers. Its business-to-business software and advertising products support user acquisition, audience engagement, app distribution, and mobile monetization across the ecosystem.

The company’s portfolio includes DT Ignite, DT Reach, DT Exchange/DT FairBid, and Offer Wall, covering on-device distribution, creative advertising formats, programmatic marketplace demand, mediation, and monetization. Digital Turbine operates across marketing, SaaS, and telecommunications, with teams developing technology for mobile publishers, advertisers, and telecom partners.

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Lead Data Scientist - Mobile Advertising (Hybrid, New York)

Lead data science strategy for Digital Turbine’s mobile advertising marketplace, covering machine learning, experimentation, attribution, and optimization. Act as a technical authority while partnering with product, engineering, and executive teams.

USUnited StatesNYNew York
$223,000 – $272,000 / year
HybridFull-timeSeniorEnglish RequiredData Scientist
AWSCloudGoogle Cloud PlatformPythonSparkSQL

Description

  • Turn complex, ambiguous business problems into multi-quarter data science roadmaps
  • Set the methodology, design, and standards for the centralized experimentation framework
  • Own technical guidance on causal inference, A/B testing, and hypothesis validation
  • Design and oversee production statistical and machine learning models for bid and user-acquisition optimization, audience segmentation, lifetime value, and multi-touch attribution
  • Lead time-series forecasting and real-time event-processing strategies
  • Work with ML Infrastructure and Data Engineering leaders on model deployment, monitoring, and integration
  • Mentor senior and mid-level data scientists
  • Define coding and methodological standards while promoting evidence-based decision-making
  • Present technical findings as strategic narratives for executive stakeholders
  • Shape product strategy and commercial investment decisions

Requirements

  • At least eight years of progressive experience in data science, quantitative analysis, or machine learning
  • Demonstrated technical leadership in AdTech, two-sided marketplaces, or consumer-scale data platforms
  • Advanced expertise in statistical modeling, causal inference, experimental design, and machine learning architecture
  • Deep knowledge of regression, classification, time-series analysis, clustering, and deep learning
  • Expert proficiency in Python or R and SQL
  • Experience working with petabyte-scale data in cloud environments such as Databricks, Spark, Snowflake, AWS, or GCP
  • Ability to build scalable tools, reusable metrics frameworks, and automated modeling pipelines
  • Exceptional communication and stakeholder-alignment skills across matrixed product, engineering, and business teams
  • A master’s or Ph.D. in a quantitative discipline is preferred but not required
  • Must be local to the job’s posting location

Benefits

  • Stock options
  • Unlimited paid time off
  • Performance-based bonus
  • Comprehensive benefits package

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