Data Scientist-Senior I

Primary Work Location - Chennai 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.

: The Data Scientist Senior I plays a pivotal role, focused on driving data science innovation within ACCs, helping to define and build the ACCs organization and leading the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist Senior I will contribute to the adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large datasets and solve difficult analytical problems, applying advanced methods. S/he will drive the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.

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