Senior Data Scientist

2 tygodni temu

Warszawa, Mazovia, Polska Digital Turbine Pełny etat

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..


• 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 users' in-app transactions for mobile game developers

Optimizing our bidding prices in real-time auctions (RTB)

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

Data bricks and Spark

Python and classic ML libraries

Experiment Management platforms such as: MLFLOW, Optuna

  • Requirements
  • BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields
  • • Experience in the AdTech industry (AdNetwork specifically) - an advantage
  • • 3 - 5 years of experience as a Data scientist
  • • Coding in Python and SQL - MUST
  • • Experience with ML models around tabular datasets - MUST
  • • Experience with cloud environments
  • • Experience with A/B testing and statistical analysis
  • • Knowledge of basic and advanced concepts of Machine Learning
  • • Ability to talk with other engineers
  • Advantages
  • • Experience with ML models in production
  • • Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage
  • • Examples of great business impact that you have created
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