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Tier-1 brand, Pune metro location, and popular Data Scientist title increase candidate competition despite niche optimization tools.
Core data modelling and MLOps skills are transferable, but ERP integration and optimization domain knowledge increase sensitivity.
Mandatory 7+ years and specialized MLOps, optimization, and data modelling tool requirements create high shortlisting strictness.
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Own the maintenance and evolution of the Data Modelling Framework and curated datasets across multiple ERPs and digital sources for Castrol's Data ecosystem.
Govern data modelling processes, partner with stakeholders to ensure alignment and sustainability of data solutions in digital operational excellence and analytics contexts.
Support mathematical modelling and advanced analytics, embedding MLOps environment capabilities and driving insights from high-dimensional data for decision-making.
Degree in an analytical field (preferably IT or engineering) or 7+ years of relevant experience.
Proven track record delivering data models and curated datasets for major transformation projects.
Expertise in data modelling tools (e.g., ER Studio, Gurobi, SageMaker PRO), Python, and PowerBI data modelling.
Work Experience Required: 7+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in managing complex, high-dimensional data modelling projects within cross-functional and digital transformation environments.
Skilled in collaborating with business and technical stakeholders to govern data assets and influence data governance and modelling best practices.
Capable of applying strategic digital and data management frameworks to optimize business performance and scale global analytics solutions locally.