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:
Predicting mobile users’ favorite games based on their gaming and behavioral history
Predicting the value of the user’s in-app transactions for mobile game developers
Optimizing our bidding prices in real-time auctions (RTB)
Optimizing infrastructure utilization
Detecting and eliminating fraud
Detecting image content in ads
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:
AWS, GCP
Google BigQuery
Databricks and Spark
Python and classic ML libraries
, PyTorch Lightning
Experiment Management platforms such as: MLFLOW, Optuna

About you:
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