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Well-known engineering employer, metro Bangalore, mid-senior generalist Data Scientist role with common analytics stack.
Role requires PLM/ERP (Teamcenter/SAP) and manufacturing domain expertise, reducing cross-industry portability.
Explicit 6+ years requirement plus mandatory Databricks, Spark, PLM/ERP and Tableau skills.
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Design, develop, and deploy advanced ML and AI models to analyze engineering, PLM, and BOM datasets for early risk identification and decision support.
Lead end-to-end data science projects including data integration from enterprise systems (Teamcenter, SAP), scalable analytics deployment (Databricks, Spark), and dashboard creation (Tableau, Mendix).
Collaborate cross-functionally to enable data-driven decisions on product readiness, part release monitoring, and risk mitigation; mentor junior data scientists.
6+ years experience as Data Scientist or equivalent analytics role.
Postgraduate degree in Data Science, Computer Science, Statistics, Engineering, or related field.
Experience with Databricks, Apache Spark, Teamcenter PLM, SAP, Python, SQL, and building dashboards with Tableau.
Work location: Bangalore, India; Travel up to 10% required; Relocation eligible.
Experienced in handling large structured enterprise datasets and integrating data across PLM/ERP systems for analytics.
Proven track record of delivering scalable AI/ML solutions from pilot to enterprise-wide adoption in engineering/product contexts.
Comfortable influencing senior engineering and manufacturing stakeholders through data-driven insights and leading cross-functional analytics initiatives.