Data Scientist - Remote

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