Client- Top Retail Analytics Org.
Role- Principal Data Scientist
Need: 12+ Years of exp post PhD/MS in OR/Optimization/SCM and related field with Retail Solutions.
Responsibility:
Candidate will be required to productize analytical solutions using Advanced Analytics /Machine Learning methodologies.
Should have strong experience in working on cutting edge analytical solutions for Retailers across globe.
Conceptualize, design and execute analytical models to embed within client's Customer Analytics portfolio, leading a team of Data Scientists.
Test model performance against competitive approaches to evolve alternative modeling options.
Work with Engineering Teams to productize analytic approaches, develop and deploy analytic code components and work with the Functional Team to define business use cases.
QUALIFICATION & EXPERIENCE : 12+ years of experience with a PhD/Masters (with relevant experience) in Operations Research/Supply Chain Management/Retail/ Optimization / Applied Mathematics/Computer Science.
Should have demonstrated experience in building scalable forecasting & optimization systems, recommender systems and association rule-mining systems, preferably in Retail Domain
Experience in building and evaluating retail campaign management systems would be a plus.
Building Big Data Products using state-of-the art technologies in Hadoop Eco-system, SQL & NoSQL databases.
Hands-on expertise in Machine Learning, Statistical Inference, Predictive Modeling, Operations Research.
Building data models using R/SAS/python. - Exposure to Cloud Computing platforms (Azure/AWS), BI tools like PowerBI, Tableau, Spotfire, Microstrategy or equivalent.
To know more please apply or call +919986460308 to know more.
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