Data Scientist – Bangalore


Bangalore, India

About the Role

Are you bored with solving the same, simple data science/machine learning problems?  Would you like a challenge of a lifetime to translate thousands of documents into millions of dollars of revenue for some of the largest companies in the world? Pramata is looking for a highly motivated and experienced Data Scientist to join our small, but rapidly growing world-class team. As a Data Scientist, you will work closely with Product Management, Operations, and Engineering to transform Pramata’s Digitization capabilities, from ideation all the way through to implementation. 

Pramata provides an exceptional opportunity to join a high growth company and establish entirely new ways to solve business problems with a strong, successful and innovative leadership team. We’re looking for equally innovative candidates who are excited to go beyond individual success and contribute to the development of best practices, methodologies, and new solutions.


  • Research machine learning solutions to solve complex document analysis and natural language problems
  • Define and maintain attributes to solve various text mining problems
  • Apply experience and research to make impact on real-time customer projects
  • Stay current with latest research and technology to continuously increase impact delivered to the business
  • Help design generic approaches to improve precision and recall on common problems
  • Work with Engineers to translate research and design into product features


  • M.S. in Machine Learning, Data Science, Statistics, or Big Data processing
  • 5+ years of relevant work experience ( Machine Learning)
  • Programming experience in Python, Java, or Ruby
  • Experience with natural languages / text mining
  • Experience with forecasting and predictive modeling techniques
  • Demonstrated ability to work both independently and in a team environment
  • Strong analytical and problem solving skills
  • Excellent communication skills
  • Results-driven, innovative, and solid business understanding
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