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Tier-1 employer, Bangalore metro location, and broad generalist data leadership requirements increase candidate competition.
Data science skills are transferable but semiconductor/materials domain and managerial expectations raise fit sensitivity to medium.
Managerial hiring with mandatory technical and leadership skills but no explicit years makes filters moderately strict.
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Supervise project teams that design and develop methods, processes, and systems to analyze large and diverse big data sources.
Build and manage teams and methodologies for complex statistical and data mining analysis using tools like R, SAS, and MATLAB, including data acquisition system design and database structure.
Plan project priorities, allocate resources, communicate team capabilities, and manage hiring, training, and performance of team members.
Work Experience Required: Not explicitly mentioned in the JD.
Mandatory technical skills include strong statistical and data mining analysis experience with tools such as R, SAS, MATLAB; programming skills in SQL, PHP or Python are required.
Location: Bangalore, India.
Ability to travel up to 10% of the time.
Experienced manager capable of leading functional teams or projects involving moderate resource requirements and complexity in data science/analytics.
Strong expertise in designing and implementing analytical models, algorithms, and automated processes for large datasets.
Skilled in interfacing with business units and translating data insights into actionable KPIs and business improvements.