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
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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
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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
