Data Science Project/process Advisor Chennai (India)

Job Summary Takes ownership over select data science initiatives. Advances ACCs broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in ACCs projects, platforms and products. Anchors current best practices by driving the design and build of reusable data science assets. Simultaneously, work to keep ACCs on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads junior data scientists in modeling and development to support operations initiatives and strategic programs, through the use of descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and use of database tools and/or other approaches in mathematical analysis. Applies understanding of ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on complex problems. Provides guidance to less senior team members to drive results. Works with cross-functional teams. Job Description A Data Science Advisor is an experienced role focused on contributing to the integration of advanced analytics and operations research methodologies within the organization. They assist in optimizing business processes and decision-making by working with cross functional teams to identify and implement data-driven solutions that align with organizational objectives. With a positive grasp of both business operations and technical methodologies, they offer support and share technical expertise with ACC practitioners, aiding in the delivery of practical insights and solutions. They help to communicate ACC initiatives effectively, ensuring that their contributions are aligned with value-driven outcomes. This role requires familiarity with data science and operations research alongside business understanding to promote innovation and improvement within the enterpris .