Technical skills : - Ability to break down complex problems, and develop strategies to solve them - Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or related fields, with 2+ years of relevant experience - Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint is a PLUS - Expertise in at least one of the following fields: machine learning, statistical modeling, data mining, or information retrieval with good experience of end-to-end analytical process - Develop and apply machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, advanced regression methods and hypothesis testing - Good experience in data extraction and processing, using SQL - Exposure to analytics related to financial services domain is preferred - Proficiency in analytics tools like R, SAS, Python Behavioral/team skills : - Should be a Self-starter - Should have excellent communication skills both written and oral. - Should be a quick learner - Experience of working in an Agile methodology is a plus, but not mandatory - Very good team player Roles and responsibilities : - Translate business objectives into analytic approaches, and identify data sources to support analysis. - Analyze and model structured data using advanced statistical methods - Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. - Analyze data using R, open source packages and commercial/enterprise applications. - Perform machine learning, Text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods. - Implement algorithms and software needed to perform analyses - Drive client engagements focused on Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management. - Interface with databases (SQL) to extract, transform and load data - Communicate results and educate others through reports and presentations. Essential skills required : Education / professional qualifications : - PG / Graduate in Engineering / Statistics Prior Experience : 2-10 years of relevant experience

Bangalore

KPMG - Data Scientist 

KPMG - Data Scientist  ,Job Description for KPMG - Data Scientist  in KPMG Global Services in  Bangalore for (2-10) years of experience. Apply Now!

Job Description for KPMG - Data Scientist  in KPMG Global Services in  Bangalore for (2-10) years of experience. Apply Now!