Description

You will build and maintain predictive, regression, causal, time-series, optimization, and customer segmentation models to drive business decision making.

This role is on-site.

Responsibilities

• Build and maintain key predictive, regression, causal, time-series, optimization, and customer segmentation models.
• Leverage R, PHP, Python, Hadoop, and Azure tools to drive efficient analytics.
• Communicate final recommendations to stakeholders to drive decision making.
• Manage analytic projects end to end, either independently or by managing virtual teams.

Required Skills

• 5+ years of scripting experience in R or Python.
• 5+ years of overall IT, DBMS, or Data Store experience.
• 3+ years of experience in big data, data caching, data federation, and data virtualization management.
• Expertise in querying and analyzing big data using Hive, Python, SQL, Scope, or C#.
• Hands-on experience building machine learning models using K-Means, SVM, KNN, and Tree-Based Methods.
• Proficiency in advanced Excel functions and PowerBI.
• Deep understanding of R and Python internals to perform root cause analysis in production.
• Knowledge of Cloud Architecture including Azure and AWS.
• Experience with forecasting techniques and statistical modeling.

Preferred Skills

• Prior experience with cloud services, cloud data services, or Azure/Windows/Linux platforms.

Key Skills

Education

Any Graduate