Data Scientist - RD 14507

Function: Engineering (R&D, Manuf. Eng.)
Localization: India - Maharashtra - Pune
Contract type: Standard jobs
Publication date: 20th August 2019
Role & Responsibilities:
  1. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  2. Work on translating deep learning research to business solutions. Implement cutting-edge deep learning algorithms on latest machine learning platforms.
  3. Data mining/ text mining from structured, semi-structure and unstructured data sources.
  4. Create ontologies for knowledge directly or indirectly related to engineering.
  5. Identify and implement the right set of algorithms to drive the data science from Proof of concepts (POCs) to industrial applications.
  6. Building visualization platforms for data analytics solutions for engineering.
  7. Defining the data accumulation mechanisms for cases where such mechanisms are not in place but are required by the business.
  8. Develop custom data models and algorithms to apply to data sets.
  9. Use predictive modelling to increase and optimize customer experiences, quick design solutions and other business outcomes.
  10. Develop testing framework and test model quality.
  11. Coordinate with different functional teams to implement models and monitor outcomes.
  12. Develop processes and tools to monitor and analyse model performance and data accuracy.
 


Education:
  • Master’s degree in Computer Science Engineering with relevant experience in the field of Machine Learning, Deep Learning and Operations Research.
  • Bachelor/Master’s degree in Statistics, Mathematics, with relevant experience in the field of Machine Learning, Deep Learning and Operations Research.
 
Experience:
  • Minimum 6-8 years of experience in an industrial environment or product development

     
    Technical skills:
  • Hands on experience with statistical tools and techniques
  • Expert level coding experience in C/C++, R, Octave and Python
  • Good knowledge about Digital image processing, Computer graphics algorithms
  • Good exposure to Deep learning libraries like Tensorflow, PyTorch etc.
  • Experience in implementing Deep learning problems (Computer vision, NLP etc.) from scratch (with Github codes exposed)
  • Good exposure to Big Data related technology stack (HDFS, Hue, Cloudera, Spark),
  • Should be able to read research papers and pick ideas to quickly implement/augment the current solution


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