Role Summary:
- Understand and design solutions to Business problems leveraging Data science and AI
- Should be able to understand and gather the requirement from Stakeholders.
- Propose and execute the solution and present the deliverables to Stakeholders.
- Manage and optimize the deliverables.
- Mentor and Train new team members.
- Develop POCs to enhance team's capability
Experience / Skill Requirements
- Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models.
- Experience training and evaluating ML models. Perform statistical analysis of results and refine models
- Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling
- Use various statistical techniques and ML methods to perform predictive modeling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business.
- Stronghold on Visualization tool (or libraries) like SAS Visual Analytics, Tableau, Python, etc.
- Expert in working on Statistical tools (Python/R/SAS).
- Experience with cloud computing infrastructure like AWS/Azure/GCP.
- Able to develop, test and deploy models on Cloud/Web.
