• Machine learning • Algorithms,python,R
Responsibilities• Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Transforming data science prototypes and applying appropriate algorithms and tools. • Develop custom ML and non-ML models and algorithms to apply to data sets. • Define the evaluation approach of models • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Coordinate with different functional teams to implement models and monitor outcomes. • Keeping abreast of developments in corresponding domains
Requirements• Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… • Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … • Excellent written and verbal communication skills for coordinating across teams. • Experience in code management using Git
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