Requirements
dvanced degree (MA/MS.C. or higher) in Computer Science/ Data Science/Statistics/ Engineering/ Economics or any related quantitative field with a focus on data analysis, applied statistics, machine learning/ deep learning
At least 8 years of practical experience as a researcher with significant business experience
At least 5 years of experience managing highly qualified Data Scientists/Analytics professionals
Expertise in a wide range of machine learning/statistical/data analysis and state-of-the-art algorithms & applications
Experience in working with external data sources, real-time data & processing big data covering both structured and unstructured data
Practical experience in addressing real-world business problems. (e.g., pricing, product personalization, event detection, etc.)
Experience building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.)
Proficiency in Python and Scala
Strong technical and technological background with good familiarity with a wide range of ML /AI & Big data tools/solutions/platforms with a particular interest in open-source solutions/tools (e.g., AWS Sagemaker, MLOps tools, etc.)
Sufficient mathematical background for reading applied academic papers
Strong verbal & written English communication skills