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Machine Learning Scientist

5.00 to 8.00 Years   Bangalore   24 Oct, 2019
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaGeneral / Other SoftwareSales / BD
EmploymentTypeFull-time

Job Description

  • Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
  • Analyze and extract relevant information from large amounts of comapnyrsquos historical business data to help automate and optimize key processes
  • Design, develop and evaluate highly innovative models for predictive learning
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Research and implement novel machine learning and statistical approaches
Basic Qualifications
  • An MS/PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. PhD strongly preferred.
  • 5 years of industrial experience in predictive modeling and analysis, predictive software development
  • Strong Problem solving ability
  • Good skills with Java or C , Perl/Python (or similar scripting language)
  • Experience in using R, Matlab, or any other statistical software
  • Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications
  • Strong communication and data presentation skills
Preferred Qualifications
  • 5 years of industrial experience in predictive modeling and analysis, predictive software development
  • Experience handling gigabyte and terabyte size datasets
  • Experience working with retail or e-commerce data
  • Experience working with distributed systems and grid computing
  • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
,

Keyskills :
datamining datamodeling problemsolving machinelearning datapresentation operationsresearch softwaredevelopment pe odelvalidation modeldevelopment commercialmodels predictivemodeling distributedsystems

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