| Data Scientist at Remote, Remote, USA |
| Email: [email protected] |
| From: Abhishek, heliogic [email protected] Reply to: [email protected] Required Experience: 12+ only Title : Data Scientist Locations: Remote Must have : AI, ML, Python, SQL, XGBoost Duration : Long Term Contract 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 users 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 -- Keywords: artificial intelligence machine learning active directory |
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| Wed Mar 13 18:45:00 UTC 2024 |