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, Opuntia
Requirements:
BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields
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 modeling using XGBoost - MUST
Experience with cloud environments
Experience with A/B testing and statistical analysis
Knowledge of basic and advanced concepts of Machine Learning
Fluent English
Ability to talk with other engineers
adtech experience with DSPs and/or SSP, content recommendation and personalization engines, decision tree modeling (such as with xgboost), etc
Advantages
Experience with ML models in production
Experience in Data Science in Ad-Tech
Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage
Examples of great business impact that you have created