Data Scientist

At Digital Turbine, we want to make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — connecting Digital Turbine’s partners to more consumers, in more ways, across more devices. We provide app publishers with powerful ads and experiences that payoff, advertisers with powerful ads and experiences that fuel performance and captivate consumers, and help telecoms and OEMs to supercharge awareness, acquisition and monetization. In a rapidly changing industry, we are always looking to create better paths of discovery to connect consumers, publishers, and advertisers in the mobile ecosystem.
We have Data Science hubs in Warsaw and Petach Tikva. 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 already created.

What you will do

• Build Machine Learning models and deploy them to production on a gargantuan scale (We serve 2bn devices globally and handle 200bn requests every day). ML models are at the heart of our technology and serve the following use-cases:
• Predict mobile users’ favorite games based on their previous gaming history
• Predict the value of the user (in-app transactions) for mobile game developers 
• Optimize our bidding prices in real-time auctions Optimize infrastructure utilization
• Detect and eliminate fraud
• Detect image content in ads
• Outsmart other very smart mathematicians and coders who build models for our competition. Our business is based on auctions, where having the best model yields higher-than-proportional benefits. Even a 1% improvement in model accuracy can lead to millions of dollars in earnings. Read more about the Data Science role in our business in an interview with Pawel Godula, Head of Data Science at Digital Turbine.
• Learn data science from a great team of Data Science researchers and engineers. We have a Kaggle Grandmaster, Kaggle Master, and Kaggle experts in the team, as well as a brilliant and accomplished engineering team to support us.

Requirements

• Coding in Python and SQL*
• Raw intellectual horsepower (aka High IQ)*
• Ability to talk to other engineers*
• Self-motivation to achieve something remarkable*
• Knowledge of basic concepts of Machine Learning
• Difference between supervised and unsupervised learning
• Train - validation - test splitAccuracy metrics
• Model classes (Gradient Boosted Decision Trees - our favorite LGBM and XG Boost, Neural Networks, Regression)


*These are absolutely required


• It would be amazing if you had: Track record on Kaggle (please share your profile)Experience with ML models in production(###---SUPER AWESOME—###) Experience in Data Science in Adtech

#LI-YR1 #LI-Hybrid

About Digital Turbine:
Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Its end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting Digital Turbine’s partners to more consumers, in more ways, across more devices.
The company 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 since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020.
Digital Turbine is an equal opportunity employer and committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives!