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Revolution Analytics

Job Location: Pune

Job Number: 150356


- Job description

Accenture Technology powers our clients’ businesses with innovative technologies—established and emerging—changing the way their people and customers experience work, life and entertainment. Join Accenture Technology and you’ll translate the operational needs of the world’s governments and leading businesses into the innovative technical solutions that will enable them to better serve their customers—your friends, family and neighbors.You’ll deliver everything from point solutions for a single business function to large, long-term outsourcing services, to complex systems integration installations spanning multiple businesses and functions. You’ll create custom-designed solutions or integrate our technology platforms with their operations.

Role : Digital Data Engineering Practitioner Role Description : Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments. Must have Skills : Revolution Analytics Good to Have Skills : No Technology Specialty Job Requirements : 1 Must to have Masters in Statistics/Mathematics/Econometrics/Compute Sci or BTech with MBA in Finance/Marketing with strong quantitative background Ability to translate business problems into analytics problem and then to business insights 2 Must to have knowledge of customer and marketing analytics 3 Must to have Deep industry knowledge on any 2 of the following: Retail Banking, Insurance,Media,Entertainment,Telecom,OilGas,Retail,CPG,Manufacturing,Hi-Tech Industry Familiarity with the Model deployment process/framework,Marketing Campaign management process 4 Deep understanding of Statistical algorithms :Linear and Non-Linear models, classification problem,optimization techniques,Market mix models, A/B Testing and campaign management,Feature ranking/selection techniques,supervised/unsupervised learning, Collaborative filtering,AprioriMarket Basket analysi,SVM,Gradient boosting,Survival analysis 5 Good to have hands on exp in SAS,Revo R,Machine learning in Python Mahout,Jupyter notes
15 years of full time education

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