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Data – Associates– KMPG – Bangalore (2+ years of experience)

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Designation – Data – Associates

Location – Bangalore

About employerKMPG

Job description:

Data & Analytics (D&A) has been identified as a key focus and strategic investment area for KPMG globally. KGS is poised to be at the center of the D&A initiative, and we are in the process of creating comprehensive capabilities aligned to the global D&A vision. This will include technical and functional capabilities across the D&A spectrum comprising Advanced Analytics, Modeling, Data Management and Big Data. We are looking to hire the following roles across the D&A spectrum

Responsibilities

  • Analyze and model structured data using advanced statistical methods
  • Implement algorithms and software needed to perform analyses.
  • Build recommendation engines, spam classifiers, sentiment analyzers, classifiers for unstructured and semi-structured data
  • Analyze data using R, Python, Java, open source packages and commercial/enterprise applications.
  • Cluster large amount of user generated content
  • Process data in large-scale environments, in Amazon EC2, Storm, Hadoop, Spark
  • Interface with databases (SQL, NO SQL, HDFS) to extract, transform and load data
  • Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
  • Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.
  • Communicate results and educate others through reports and presentations.
  • Performance explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.

Qualification and Skills Required

  • Ability to break down complex problems, and develop strategies
  • Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with 2+ years of relevant experience
  • Expertise in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval
  • 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 Experience working with large datasets and problems.
  • Strong data extraction and processing, using MapReduce, Pig, and/or Hive preferred
  • Experience with command-line scripting, data structures and algorithms
  • Knowledgeable with search engines, spam detection, recommendation systems, and/or social networks
  • Ability to work in a Linux environment, and process large amounts of data in a cloud environment
  • Modern programming language such as Ruby, Python, Java, C++, etc.
  • Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.
  • Proficiency in analysis (e.g. R, SAS, Matlab) packages, and programming languages (e.g. Java, Python, Ruby).
  • Ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing, and databases, such as Hadoop, Storm, SQL, Solr.
  • Additionally, have broad understanding of the various commercial distributions of the Apache Hadoop framework, e.g., MapR, Cloudera, Horton works, etc

Interested people can apply for this job at this PAGE

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