Digital Turbine

Data Scientist

• Translate complex, high-ambiguity business challenges into multi-quarter data science roadmaps
• Drive methodology, design, and standards for the centralized experimentation framework
• Serve as the primary authority on causal inference, A/B testing, and hypothesis validation
• Architect and oversee production-grade statistical and machine learning models for bid/UA optimization, dynamic audience segmentation, user lifetime value, and multi-touch attribution
• Direct time-series forecasting and real-time event processing strategies
• Partner with ML Infrastructure and Data Engineering leads on model deployment, monitoring, and integration
• Mentor senior and mid-level data scientists
• Establish code and methodology standards and foster an evidence-based culture
• Translate technical findings into strategic narratives for executive stakeholders
• Influence product strategy and commercial investments

Lead Data Scientist