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 experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

We are the largest independent operator of app growth and monetization platforms in the world. That is, we help mobile game developers get more players for new games, and 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 data scientist, uplifting a model’s accuracy by even a 1% improvement can lead to millions of dollars in earning

What You Have Achieved..

About the role:

• Building Machine Learning (ML) models and deploying them to production on a giant scale (we serve 2bn devices globally and handle 200bn requests every day).
• Using ML models which are at the heart of our technology to serve the following use-cases:
  
  

• Collaborating with super-smart employees from different domains - Backend, Data Engineering, Frontend, Product, Business and other Data Scientists who work on building ML models for our company
• Working with the following cutting-edge technologies:
  
  

• BSc in Computer Science or Engineering or related field with a focus on applied statistics, AI, machine learning or related fields
• 5+ years of experience as a Data scientist in the tech arena, preferably Adtech
• Strong coding capabilities in Python and SQL
• Experience with ML models around tabular datasets
• Experience working with cloud environments
• Experience with AB testing and statistical analysis
• Knowledge of basic and advanced concepts of Machine Learning
• Advantage experience with ML models in production, Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies
• Showcase of business impact created with your work
• Fluent English (written and spoken)
• Hybrid model - minimum three days on-site