Upgrade to Pro Member
HR Consultant at CareerNet Technologies Pvt.Ltd
Views:11756 Applications:530 Rec. Actions:Recruiter Actions:187
Big Data/Machine Learning Role - Statistics & Analytics Domain - Retail/eCommerce/BFSI (2-9 yrs)
Looking for Candidates who have experience in the domain of Big Data/Machine Learning from statistics & Analytics domain.
- Experience in Analyzing the Medium Complex Problems and translate it into an Analytical Approach
- Experience in Statistical Learning: Diagnostic Analytics, Simulation and Predictive Modeling,, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions
- Lead role mentoring Jr. Analysts on approach and results.
- Experience with big data analytics and advanced data mining techniques to analyze data
- Experience with identifying trends, patterns, and outliers in data
- Experience with statistical programming languages using analytical Packages/library:- R, Python
- Experience with statistical Tools (R studio, Revolution R, Win Python)
- Experience with SQL and relational databases, data warehouse
- Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL)
- Experience with statistical programming languages - SAS
- Experience with statistical Tools (For ex: SAS EG, Enterprise Miner, Text Miner, KXEN, OPL/CPLEX, SPSS,R studio, Revolution R)
- Experience with data warehouse platforms - Teradata / Green Plum, HANA
- Bachelor's / Master's in Computer science Engineering OR Masters in Statistics/Mathematics
- Data Scientist people also will be considered.
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
2-Step Verification - Action Required
We've updated our security procedures!
Your privacy and security are important to us. We've recently updated our security measures to make iimjobs.com safer and more secure for you. This change requires you to reset your password.
Please reset your password using the link sent to your email. If you did not receive any email, please check your spam folder..
