Statistical Expert


Job Description

  • Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions
  • Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement solution on a Big Data platform
  • Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function
  • Ability to support and guide end-to-end model lifecycle management
  • Create model documentation as per client/ regulatory standards

Competencies Required

  • 15 + years of total relevant experience. 10+ years of experience in analytics/ data mining. 1+ years of hands-on big data analytics experience
  • Knowledge of Hadoop and other distributed computing platforms. Broad knowledge of existing data mining, NLP algorithms and technologies
  • Experience with working on large data sets and developing scalable algorithms
  • Hands-on experience of machine learning and data mining algorithms such as decision trees, classifiers, Text correlation, clustering, and regression
  • Proficient in scripting languages Python/ Java. Scripting in Pig/ Hive/ Mahout/… a plus
  • Experience with statistical software SAS/ SPSS/ R/ Matlab/ Weka
  • Excellent presentation and communication skills
  • Strong analytical and problem solving skills
  • Skilled in coding in SAS, using various SAS procs (Base, STAT, Graph, etc.) to analyze & transform data and prepare analytical data sets
  • Hands-on experience on SAS (SAS/STAT, Enterprise Guide, E Miner) and develop forecasting models
  • Strong statistics knowledge and expertise of analytical techniques such as sampling, clustering, decision trees. forecasting, and linear/ logistic regression


  • Degree in a quantitative field (Math, Statistics, Economics, Physics, and/ or Engineering, MBA).
  • Knowledge of where analytics fits in to a end-to-end business solution
  • Ability to work with business and technology teams to build and deploy an analytical solution as per client needs
  • Ability to multi-task, solve problems and think strategically
  • Strong communication and collaboration skills.


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