Digital Turbine
Digital Turbine

Digital Turbine este o platformă de creștere pentru dispozitive mobile, destinată dezvoltatorilor de aplicații, brandurilor, operatorilor de telefonie mobilă și producătorilor de dispozitive. Produsele sale software și de publicitate pentru companii sprijină achiziția de utilizatori, implicarea publicului, distribuția aplicațiilor și monetizarea dispozitivelor mobile în întregul ecosistem.

Portofoliul companiei include DT Ignite, DT Reach, DT Exchange/DT FairBid și Offer Wall și acoperă distribuția pe dispozitive, formate creative de publicitate, cererea din marketplace-ul programatic, medierea și monetizarea. Digital Turbine activează în domeniile marketingului, software-ului ca serviciu și telecomunicațiilor, iar echipele sale dezvoltă tehnologii pentru editori mobili, advertiseri și parteneri din telecomunicații.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

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

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