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Tier-1 brand, mid-level generalist data scientist role with broad skillset and metro hiring.
Requires manufacturing domain experience, reducing cross-industry transferability.
Explicit 2–4 years manufacturing experience plus mandatory ML, coding and visualization skill requirements.
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Implement and support digital solutions to improve operational excellence in manufacturing plants.
Develop and apply custom data models and predictive analytics to drive cost savings and efficiency improvements.
Manage projects related to digital technology adoption, ensuring compliance and collaboration across teams and vendors.
Bachelor's degree in Software, IT, Electronics/Electrical, or Data Science related field (BE/BTech).
2-4 years of experience in the manufacturing industry as a data analyst or data scientist.
Hands-on coding proficiency in C, C++, R, Python, and Java.
Strong knowledge of statistical and data mining techniques plus experience with data visualization tools like Power BI or Tableau.
Experienced in applying AI/ML and digital technologies specifically within manufacturing environments.
Ability to lead cross-functional teams and manage multiple projects focused on operational improvements via digital transformation.
Skilled at communicating technical benefits to senior management and promoting adoption of new technologies.