Senior Scientist/NLP/Machine Learning/Data Mining Professional

1 week ago

Bangalore, India Career Makers Full time

Major responsibilities:

  • Use statistics, NLP and machine learning techniques to create scalable solutions for business problems
  • Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
  • Design, experiment and evaluate highly innovative models for predictive learning
  • Work closely with software engineering teams to drive realtime model experiments, implementations and new feature creations
  • Work closely with operations staff to optimize various business operations
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Track general business activity and provide clear, compelling management reporting on a regular basis
  • Research and implement novel machine learning and statistical approaches

Basic Qualifications:

  • A MS in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field
  • 3+ years of handson experience in predictive modeling and large data analysis
  • 3+ years of experience using R/SAS and SQL in a Linux/UNIX environment
  • 3+ years of experience with Python
  • Strong communication and data presentation skills
  • Strong problem solving ability

Preferred Qualifications:

  • A PhD in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field
  • 5+ years of industry experience in predictive modeling and large data analysis
  • Strong skills with Python and Java/C++
  • 1+ year distributed programming experience
Machine Learning Scientist

Major responsibilities:

  • 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 Amazon's 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.
  • 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 :

  • 210 years of industrial experience in predictive modeling and analysis, predictive software development
  • Experience handling gigabyte and terabyte size datasets
  • Experience working with retail or ecommerce data
  • Experience working with distributed systems and grid computing
  • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
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