Data Science Delivery Lead
4 months ago
Analytics and Data Science Delivery Lead
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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