Data Scientist

Job Overview

Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Lead analytic approaches integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Requirements Proficiency in Python or R and in writing complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, and more) Experience with data visualization tools – Tableau, R Shiny etc preferred