Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
5+ years of combined experience in advanced analytics in industry or research.
Expert level knowledge of machine learning. Ability to define the direction for a project and select appropriate methods and tools. Up to date knowledge of recent advancements
Working experience with deep learning, particularly in the areas different form the computer vision. Strong experience with deep learning using TensorFlow.
Experience implementing scalable, distributed, and highly available systems using Google Could Platform.
Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
Proficient in Python. Java or Scala is a plus.
Experience in data processing using SQL and PySpark.
Desired Characteristics:
Working experience with commercial recommender systems or a lead role in an advanced research recommender system project.
Experience with reinforcement learning based systems.
Experience with multi-billion record datasets and leading projects that span the disciplines of data scienceand data engineering
Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
Experience with large-scale video assets
Team oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools