Senior Data Scientist

At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and engaging experiences that captivate their audiences, and we help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery and connection across the mobile ecosystem. We are also the largest independent operator of app growth and monetization platforms in the world. That is, we not only help mobile game developers get more players for new games, and also help them make more money on games they have already created.  Our business is based on real-time traffic, where having the best model yields higher-than-proportional benefits. As a Senior Data Scientist, uplifting a model’s accuracy by even a 1% improvement can lead to millions of dollars in revenues. Want to be part of team that's making real impact, at the epicenter of an innovative, industry-disrupting, global company? We would love to hear from you!

About the Role:

• Build Machine Learning (ML) models and deploy them to production on a giant scale (we serve 2 billion devices globally and handle 200 billion requests every day!) 


• Use ML models, which are at the heart of our technology, to serve the following use-cases:
• Predict mobile users’ favorite games based on their gaming and behavioral history
• Predict the value of user’s in-app transactions for mobile game developers 
• Optimize our bidding prices and strategy in real-time auctions (RTB)
• Optimize infrastructure utilization
• Detect and eliminate fraud
• Detect image content in ads


• Collaborate with super-smart team members across a variety of domains (Data Engineering, Backend Developers, Frontend Developers, Product Teams, and other Data Scientists) to collectively build ML models for our company


• Use cutting-edge technologies like:
• GCP
• Google BigQuery
• Databricks and Spark (PySpark, Spark SQL)
• Python and classic ML libraries
• PyTorch + PyTorch Lightning
• Experiment Management platforms such as: MLFLOW, Optuna


• Flexible, hybrid work model with 3 days per week on-site

About You:

• Experience in the AdTech industry (Ad Network specifically) is a must
• 5+ years of experience as a Data scientist in tech
• Ability to mentor others, work in teams, teach and learn from peers
• Ability to lead data science projects from research (both academic and practical!) to production, including model deployment, monitoring, AB testing, and impact
• Strong coding capabilities in Python and SQL
• Experience with ML models around tabular datasets 
• Experience working within cloud environments
• Experience with AB testing and statistical analysis (including sig. testing)
• Prior experience with both batch prediction and real time prediction deployment patterns
• Knowledge of basic and advanced concepts of Machine Learning
• Ability to speak to and showcase the business impact created with your work
• Bachelor of Science Degree in Computer Science or Engineering or related field with a focus on applied statistics, AI, machine learning or related fields
• Extra points if you also bring experience with: ML models in production, Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies

About Digital Turbine:
Digital Turbine (NASDAQ: APPS) is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities, serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years, winner of BuiltIn's Best Places to Work 2022 and 2023, Winner of Dun's 100 Best Places to Work 2023 and 2024.
Digital Turbine is an equal opportunity employer committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building this culture within our teams makes us better collaborators and partners, driving better outcomes.
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