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Job Opportunity as Application Developer at IBM for M.Sc Chemistry and M.Pharm Pharmacology

Job Description

IBM has been present in India since 1992. IBM India’s solutions and services span all major industries including financial services, healthcare, government, automotive, telecommunications and education, among others. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software, uniquely distinguishes IBM India from other companies in the industry.
IBM GBS is the consultative and integrating front end of the IBM portfolio, addressing a client agenda increasingly led by C-Suite and line of business leaders. Business unit is designed specifically to provide consultative sales expertise to all of IBM, and is the source of market-leading industry consulting, application and business process management, supported by the industry’s most sophisticated delivery model, all designed to: Unlock value at the intersection of Big Data and Individual Engagement, Recognize that all new front-end value depends on the end-to-end integration of enterprise data, and the transformation of existing processes and workflow. Elements of IBM GBS BU are Business Analytics & Strategy, Interactive Experience & Mobile, Enterprise Applications, Application Development & Innovation, and Global Process Services. Our core competencies include deep business process and industry expertise, Advanced Analytics and Research Capabilities, comprehensive IT infrastructure knowledge, and proven ability to implement enterprise solutions that deliver business value.

Role & Responsibilities:
In this role the focus will be on adoption of business analytics in client settings, where both structured and unstructured analytics are important. The successful candidate is expected to have a combination of hands-on analytics expertise, client-facing consulting experience, and acumen for solving business problems using quantitative methods. The responsibilities include application of hands-on analytics expertise and demonstration of thought leadership during consulting engagement that may be part of delivery project.

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Skills:

  • B.Tech/M.Sc./M.Tech./Ph.D., in Engineering / Technology, Science (Mathematics, Physics, Chemistry, Pharmacology, Computer Applications), Statistics, Economics and Operations Research from recognized Institute/Universities (preferably ISI, IIT, IIM) with very good academic background 
  • Application experience / knowledge of statistical techniques such as regression, correlation, classification and clustering methods
  • Experienced with industrial / academic projects in data mining and machine learning methods like SVM, Regression Modeling, Survival Modeling, Time Series Modeling, Market Basket Analysis, Bayesian /  Neural Networks is a plus
  • Application experience / knowledge of linear programming, mathematical optimization, CPLEX algorithm is a plus
  • Ability to conceptualize the right analytical solution and algorithms to address specific business problems
  • Application experience / knowledge and hands on coding skills in Python/R, SAS/SPSS
  • Proven records of thought leadership capabilities by publishing research papers is a plus
  • Proven communication / presentation skill, quick learner and must have ability to work with the team
  • Willingness to do end to end work hands on, that includes coding, data management, data analyses / modeling, business consulting, presentation development, RFP response, client management and sales pitch. 

Job Role: Application Developer

Required Technical and Professional Expertise

knowledge of statistical techniques such as regression, correlation, classification and clustering methods,knowledge of linear programming, mathematical optimization, CPLEX algorithm,knowledge and hands on coding skills in Python/R, SAS/SPSS,knowledge of data mining and machine learning methods like SVM, Regression,Modeling, Survival Modeling, Time Series Modeling, Market Basket Analysis,Bayesian / Neural Networks

Preferred Technical and Professional Experience

knowledge of statistical techniques such as regression, correlation, classification and clustering methods,knowledge of linear programming, mathematical optimization, CPLEX algorithm,knowledge and hands on coding skills in Python/R, SAS/SPSS,knowledge of data mining and machine learning methods like SVM, Regression,Modeling, Survival Modeling, Time Series Modeling, Market Basket Analysis,Bayesian / Neural Networks.

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