Digital Turbine
Digital Turbine

Digital Turbine एक मोबाइल ग्रोथ प्लेटफ़ॉर्म है, जो ऐप डेवलपर्स, ब्रांडों, मोबाइल कैरियर्स और डिवाइस निर्माताओं को सेवाएँ प्रदान करता है। इसके बिज़नेस-टू-बिज़नेस सॉफ़्टवेयर और विज्ञापन उत्पाद पूरे मोबाइल इकोसिस्टम में यूज़र अधिग्रहण, ऑडियंस एंगेजमेंट, ऐप वितरण और मोबाइल मुद्रीकरण में सहायता करते हैं।

कंपनी के पोर्टफोलियो में DT Ignite, DT Reach, DT Exchange/DT FairBid और Offer Wall शामिल हैं। ये उत्पाद डिवाइस पर वितरण, क्रिएटिव विज्ञापन फ़ॉर्मैट, प्रोग्रामैटिक मार्केटप्लेस डिमांड, मेडिएशन और मुद्रीकरण जैसी सेवाओं को कवर करते हैं। Digital Turbine मार्केटिंग, SaaS और दूरसंचार क्षेत्रों में काम करती है, जहाँ टीमें मोबाइल पब्लिशर्स, विज्ञापनदाताओं और टेलीकॉम भागीदारों के लिए तकनीक विकसित करती हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

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

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