Data Science

Job Expectations

• Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark.
• Ability to write well designed, modular and optimized code.
• Knowledge of H2O.ai, GitHub, Big Data and ML Engineering.
• Knowledge of Snowflake, AWS, Azure etc.
• Knowledge of commonly used data structures and algorithms.
• Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level.
• Good to have: Knowledge of Time Series, NLP and Deep Learning and Generative AI is preferred.
• Good to have: Knowledge and hands-on experience in developing solutions with Large Language Models.
• Must have been part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex data sets.
• Experience in Data Science in Sales and Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred.
• Built and deployed large scale software applications.
• Understanding of principles of software engineering.
• Strong problem solving and critical thinking skills.
• Curious, fast learning capability and team player attitude is a must.
• Ability to communicate clearly and effectively.
• Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications.
• Most importantly - ability to identify and translate theories into real applications to solve practical problems.