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Strong employer brand plus mid-level ML generalist role with broad skills increases competition.
Strong manufacturing domain focus reduces cross-industry transferability despite general ML skills.
Explicit 2–4 years requirement and manufacturing experience requirement make shortlisting quite strict.
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Implement and support digital value stream initiatives in manufacturing plants focused on operational excellence.
Mine and analyze manufacturing data, develop predictive models and custom algorithms to drive efficiency and cost savings.
Manage digital projects end-to-end including planning, budgeting, stakeholder communication, and compliance with manufacturing digital standards.
Bachelor's degree in Software, IT, Electronics/Electrical, AI, ML, or Data Science related field.
2-4 years of experience in manufacturing industry as a data analyst or data scientist.
Proven skills in predictive modeling, data mining, and digital solution implementation in manufacturing contexts.
Ability to manage projects including planning, budgeting, and tracking milestones.
Experienced in applying data science and AI/ML techniques specifically within manufacturing operations.
Skilled at collaborating across teams and managing vendor relationships to deliver digital transformation.
Capable of driving adoption of new digital technologies and communicating benefits to senior management and plant teams.