Tavant
Data Scientist - AdTech
Tavant, Santa Clara, California, us, 95053
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 historyPredicting the value of the user’s in-app transactions for mobile game developersOptimizing our bidding prices in real-time auctions (RTB)Optimizing infrastructure utilizationDetecting and eliminating fraudDetecting image content in adsCollaborating 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 companyWorking with the following cutting-edge technologies:AWS, GCPGoogle BigQueryDatabricks and SparkPython and classic ML librariesPyTorch LightningExperiment Management platforms such as: MLFLOW, OptunaRequirements
BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields3 - 5 years of experience as a Data scientistCoding in Python and SQL - MUSTExperience with ML models around tabular datasets - MUSTExperience with modeling using XGBoost - MUSTExperience with cloud environmentsExperience with A/B testing and statistical analysisKnowledge of basic and advanced concepts of Machine LearningFluent EnglishAbility to talk with other engineersAdvantages
Experience with ML models in productionExperience in Data Science in Ad-TechFamiliarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantageExamples of great business impact that you have created
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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 historyPredicting the value of the user’s in-app transactions for mobile game developersOptimizing our bidding prices in real-time auctions (RTB)Optimizing infrastructure utilizationDetecting and eliminating fraudDetecting image content in adsCollaborating 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 companyWorking with the following cutting-edge technologies:AWS, GCPGoogle BigQueryDatabricks and SparkPython and classic ML librariesPyTorch LightningExperiment Management platforms such as: MLFLOW, OptunaRequirements
BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields3 - 5 years of experience as a Data scientistCoding in Python and SQL - MUSTExperience with ML models around tabular datasets - MUSTExperience with modeling using XGBoost - MUSTExperience with cloud environmentsExperience with A/B testing and statistical analysisKnowledge of basic and advanced concepts of Machine LearningFluent EnglishAbility to talk with other engineersAdvantages
Experience with ML models in productionExperience in Data Science in Ad-TechFamiliarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantageExamples of great business impact that you have created
#J-18808-Ljbffr