Senior Engineer - Data Scientist Openings @ Bangalore

Data Scientist - Digital Analytics

J.C. Penney Company, Inc.

Bangalore

When it fits, you feel it. JC Penney is one of the nation’s largest apparel and home furnishing retailers, and we're dedicated to fitting the diversity of America with unparalleled style and value. Working at JC Penney gives you the opportunity to help create meaningful experiences for the millions who shop at our more than 1,000 stores and jcp.com. We believe in quality that can be felt, fabrics that your skin loves, colors that go with you, and sizes and prices that invite you to buy for the whole family. We're looking for motivated, talented individuals who can emerge as Warriors in our organization. Find your fit at JC Penney.

 Job Description

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. We are looking for eCommerce expertise to deliver better customer experience, drive higher revenue, early issue detection and build system for automated fraud detection, etc.

 Responsibilities

• Use strong business acumen, as well as an ability to communicate findings and mine vast amounts of data for useful insights
• Use these insights to influence how an organization approaches business challenges
• Use a combined knowledge of computer science and applications, modeling, statistics, analytics and mathematics to solve problems
• Extract data from multiple sources
• Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities
• Communicate important information and insights to business and IT leaders
• Make recommendations to adapt existing business strategies

 Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• 6 to 10 years of Experience with common data science toolkits, such as R, Python. Excellence in at least one of these is highly desirable
• Great communication skills
• Experience with data visualization tools, such as Tableau
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills
• Extensive retail experience, ecommerce preferred
• Masters in Statistics or relevant degree

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