Data Scientist II

Overview

Hybrid Data Scientist II role focused on applying analytics and building models to transform data into actionable insights for decision-making.

What you'll do

• Formulate and define analytic objectives based on business needs.
• Develop and validate models and assess results and performance after implementation.
• Prepare for exploratory data analysis by identifying available data, defining business rules, and objectives.
• Research and help deliver data science solutions for the problem domain.
• Create visualizations of model insights for easy consumption.
• Contribute to measurement of business performance based on deployed models, with potential leadership of model enhancements.

What you'll need

• Master’s degree in Statistics, Operations Research, Computer Science or equivalent (preferred).
• Or Bachelor’s degree in these areas plus at least 2-3 years of relevant experience.
• Working knowledge of data science methodologies including regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
• Effective use of analytics software for model building, testing & deployment (R, Python, SAS, SQL).
• Experience with Docker and GitHub and coding IDE platforms.
• Knowledge of data visualization tools (Tableau/Python) for data visualization.

Details

• Works hybrid with an average requirement of 2 days per week from an HPE office.
• Location: Bengaluru, Karnātaka, India.