| Data Scientist- AD Tech Need 10+ years profile only locals Santa Clara, CA, US at Remote, Remote, USA |
| Email: [email protected] |
| From: Patricia, W3Global [email protected] Reply to: [email protected] We are looking for a Data Scientist- AD Tech, who has good experience in AD Tech and ML domain. 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 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, Optuna 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 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. Keywords: artificial intelligence machine learning active directory |
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| Wed Sep 06 18:37:00 UTC 2023 |