Employer Active
- USA
Not Disclosed
Salary Not Disclosed
1 Vacancy
Data Scientist Role
Job Locations: Cupertino CA
Duration: Full Time.
Required Experience: 5 8 Years
Skills : AI ML Python SQL XGBoost
Required Experience:
5 8 Years
Responsibilities:
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 usecases:
Predicting mobile users favorite games based on their gaming and behavioral history
Predicting the value of the users inapp transactions for mobile game developers
Optimizing our bidding prices in realtime auctions (RTB)
Optimizing infrastructure utilization
Detecting and eliminating fraud
Detecting image content in ads
Collaborating with supersmart 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 cuttingedge technologies:
AWS GCP
Google BigQuery
Databricks and Spark
Python and classic ML libraries
PyTorch Lightning
Experiment Management platforms such as: MLFLOW Optima
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 AdTech
Familiarity with Spark Databricks MLFLOW and Big Data related technologies a strong advantage
Examples of great business impact that you have created
Full Time