Details:

You will collaborate with the brightest technical minds in building futuristic products, researching ground-breaking concepts, and influencing new ideas to transform retail. If you want to make meaningful contributions and reinvent the retail space that will impact millions of guests, Target is for you. 

About This Opportunity:

Responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies based on the needs of the organization. Designs and drives the creation of new standards and best practices in the use of statistical data modelling, big data and optimization tools. 

•Deploy data-science and technology based algorithmic solutions to address business needs for our customers

•Utilize recommender systems, collaborative filtering techniques, propensity modeling to drive our customer's business priorities

Qualifications: 

Msc - Statistics / Math or PhD in any stream

Experience : 

0 to 2 yearsRequirements

Experience / Strong Knowledge of Regression/Linear Analysis

Familiarity with any of Deep Learning, Distributed RF, Generalized Linear Model,K-Mean and naive Bayes

Familiarity with designing algorithms on Hadoop ecosystem•Experience / Strong Knowledge with recommendation systems

A strong passion for empirical research and for answering hard questions with data

Excellent written and verbal communication skills

Min. Qualification:

pg

Skills Required:

deep learning, hadoop, linear regression, naive bayes, regression