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Data Scientist

Navi Mumbai, India

This position is closed as on 2020-08-10

 

Reporting Structure

The role is part of Research and Innovation vertical

Job Description

We are looking for a Data Scientist to analyse large amount of raw information to find patterns, choose algorithms/models, build AI/ML products, extract insights and optimize the algorithms/models in iterations, preferably using python, scikit-learn, tensforflow/keras and pytorch

The incumbent should possess excellent analytical skills and proficiency in mathematics and statistics. Critical thinking and problem-solving skills are essential for interpreting data.

The candidate should be hands-on.

Education

BSc/BA/BE/BTech/MCA in Computer Science, Engineering or Mathematics or Statistics or relevant field; graduate degree in Data Science or other quantitative field is preferred

 

Relevant Master’s degree preferred

Experience

2-4 years of relevant industry experience

Industry

Information Technology/BSFI

Responsibility

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Undertake Data wrangling and cleaning
  • Analyze large amounts of information to discover trends and patterns
  • With varied use cases the candidate should be comfortable to work on python, scikit-learn, OpenCV, NLTK, CNN, RNN, LSTM, pytorch while using GPU resources.
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Create and maintain optimal data pipeline architecture
  • Combine models through ensemble modeling
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Create and maintain optimal data pipeline architecture
  • Combine models through ensemble modeling
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Should have business expertise:
  • Data landscape understanding
  • Solution conceptualization
  • Understanding of business context
  • Business benefit estimation
  • Change management
  • Interaction with senior leaders and business stakeholders

Skills and Qualifications

 

  1. Proven industry experience as a Data Science and Machine Leaning Engineer
  2. Should have practical hands-on experience in working/delivering 2 to 4 projects in AI/ML/Analytics projects preferably in BFSI domain
  3. Experience on dimensionality reductionality concepts like PCA, Filters, Ensemble methods, Backward/Forward elimination, feature abstraction
  4. Understanding of data structures, data modeling, data mining and software architecture
  5. Deep knowledge in mathematics and statistics or operation research.
  6. Hands-on experience in Python or R, SQL and/or NoSQL databases; familiarity with Scala, Java or C++ is an asset
  7. Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch/PyCharm/Kite) and libraries (like scikit-learn)
  8. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop, Spark, Kafka, etc) would be a plus
  9. Image Processing Knowledge would be a plus
  10. Should have NLP experience
  11. Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
  12. Automation of machine learning model development processes
  13. Outstanding analytical and problem-solving aptitude
  14. Excellent communication and presentation skills
  15. Industry certifications and fulltime of minimum 1 year course from reputed institute