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Senior Data Scientist
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Role/ Job Title : Senior Data Scientist - CX Analytics
Function/ Department : Data & Analytics
Roles & Responsibilities:
- Strong understanding of machine learning algorithms and statistical modelling to address business problems
- Leverage advance analytics techniques to map customer behaviours
- Design, prototype, build and maintain APIs for consumption of machine learning models at scale
- Familiarity with Natural Language Processing (NLP) libraries and frameworks such as NLTK, SpaCy, or Genism
- Perform feature engineering through extracting meaningful features from measured and derived data
- Perform exploratory and targeted data analyses to get key insights
- Collaborate on MLOPS life cycle & experience with MLOPS workflows & traceability and versioning of datasets
- Able to understand business perspective and proactively identify solutions with business problem of ensuring best customer experience
- Mentor the team of data scientists on model development to containerize and build out the deployment pipelines for new models
- Lead and implement Machine Learning projects from initiation through completion with particular focus on automated deployment and ensuring optimized performance
- Maintain and optimize the machine learning/deep learning models developed by the Data Scientist and ensure seamless deployment in the cloud analytics platform like AWS while enabling model tracking, model experimentation and model automation
Key Success Metrics:
- Development of models & tools
- Implementation & effective usage of models
- Delivering Models as per Business Alignment and expected quality
- Design & Creation of campaign strategies independently
- Tracking of Models performance as per expectation
Educational Qualifications:
Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)
Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)
Experience: 5 to 10 years