Data Science Delivery Lead
3 months ago
Roles & Responsibilities
We are seeking a Delivery Leader for Analytics and Data Science who can manage programs, from conceptualization to execution, across various domains including Machine Learning, Natural Language Processing (NLP), Forecasting, Experimental Design, Root Cause Analysis (RCA), and Data Visualization.
Below are some of the core responsibilities associated with the role :
Delivery :
End-to-end delivery of Data Science Projects, POCs and other form of engagements
Implement and enforce best practices in model development, data processing, and deployment
Ensure efficient resource allocation, effective budget management, and adherence to project timelines
Lead discussions with leadership to align business objectives, project plans, and address challenges proactively.
Provide both functional and technical leadership to guide and mentor the team effectively
Consulting :
Identifying Analytics opportunities across client and internal operations
Assessment of Data & Tech readiness for deploying Analytical solutions
Preparing roadmap in terms of people, tools and capabilities that would be required for development
Pre-Sales :
Providing Delivery inputs (technical approach, pricing and implementation roadmap) for client RFPs/RFIs
Building demonstratable capabilities
Mandatory Qualifications & Skills
15+ Years of experience in Core Analytics and 5+ Years of experience in leading Analytics Programs
Expert in Machine Learning Tools & Methodologies (such as Regression, Classification, Forecasting etc.)
Expert in delivering projects in Natural Language Processing and allied areas
Exposure to Deep Learning frameworks such as Keras, Tensorflow etc.
High degree of familiarity with at least one of the Cloud Technologies (e.g. Azure, AWS, GCP etc.)
Exposure to at least one of BI Stacks – Power BI/Tableau
Hands-on experience across Python & SQL for Analytics development
Experience in popular deployment methodologies and MLOps principles
Experience in conducting statistical tests and designing experiments for causal inference
Preferred Skills
Familiarity with Generative AI solutions leveraging proprietary and Open-Source tools
Experience in developing and deploying Computer Vision solutions
Familiarity with Data Engineering tools and methodologies (ETL, Data Pipelines etc.)
Knowledge of Healthcare (Provider & Payer) & BFS Industry will be advantageous
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