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Tier-1 brand, metro Bangalore location, and a popular mid-level Data Scientist title increase applicant competition.
Role requires PLM/ERP (Teamcenter, SAP) and manufacturing domain expertise, reducing cross-industry portability.
Explicit 6+ years, postgraduate degree, and mandatory Databricks/Spark/PLM tool experience raise strictness.
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Design, develop, and deploy advanced analytics and AI models to analyze large-scale engineering, PLM, and BOM data for risk identification.
Lead end-to-end data science projects including data integration from enterprise systems (Teamcenter, SAP), model development, deployment, and dashboard creation.
Mentor junior team members and influence data-driven product readiness, release monitoring, and lifecycle risk decisions at scale.
6+ years of full-time experience as a Data Scientist or equivalent analytics role.
Postgraduate degree in Data Science, Computer Science, Statistics, Engineering, or related field.
Proficiency in Python and strong SQL skills; experience with Databricks, Apache Spark or similar big data platforms.
Experience working with Teamcenter PLM and SAP ERP systems, and building dashboards with Tableau.
Experienced in applying machine learning and statistical modeling in engineering or manufacturing data contexts.
Skilled in integrating and analyzing large, structured enterprise datasets from PLM and ERP systems.
Able to lead projects and collaborate cross-functionally to translate complex data into actionable, scalable analytics solutions.