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Data Science_Bangalore/Pune

Negotiable
Full-time
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 Job descriptions:-
Works as a senior member in various areas of analytics e.g. IoT/Connected Device/Sensor data analysis or supply Chain or marketing & customer analytics or unstructured data area e.g. NLP, Speech or Computer vision
·       Works as a senior member/lead the Python skills for data science projects
  • Will define the architecture and Python packages requirement for client projects
  • Will mentor the team as and when required
  • Will play the consulting role for complex requirement of Python projects
  • Will take the initiatives for training on newer python skills/packages
·       Works as a senior member in Data Science projects and coordinate the relationship with clients and manage the deliverables of client projects
·       Works to design and develop analytical/ data mining/ machine learning/deep learning models as part of data science solutions
·       Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement analytics as part of a technology solution
·       Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function, more specific to any manufacturing and asset intensive industry domains
·       Ability to support and guide end-to-end model lifecycle management
·       Create model documentation as per client/ regulatory standards
·       Working experience in various AI powered model implementation with NLP, Deep Learning algorithms
·       Develop Models using open source packages e.g. python and R
·       Experiences in unstructured text data analysis; language, speech, image and video data analysis across multiple industries e.g. manufacturing, retail, etc.
·       Gather, evaluate & document business requirements related to analytics, translate to analytics solution definition & ability to implement using Python
·       Manage team consisting of various skills ranging
  • Data extraction from Raw files using Python Anaconda or built in for POC
  • Data pulling or creating from different sources such as HBase, Hive, Impala etc.
  • Responsible for analyzing data from multiple data sources (DBs, flat files, etc.), and building predictive models using Python.
  • Scripting with Python and cron jobs to schedule the run (Batch or Real time)
  • Different models and their performances in Real time and Batch developed using Python (Pandas)/MLib/PySpark and opting the better solution depending on the cases
  • Validate the models – statistically as well as from business perspective in discussions with business stakeholders
  • Ability to support and guide model deployment and model lifecycle management
  • Create model documentation as per client/ regulatory standards

Last updated on Feb 8, 2021

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