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Strong employer brand, popular Data Scientist role, mid-level (2-4 years) experience increases applicant competition.
Role requires manufacturing domain experience and plant digital solutions, limiting transferability across industries.
Explicit 2-4 years, manufacturing experience, and specific ML coding and statistical skill requirements raise filter strictness.
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Lead implementation and support of digital solutions in manufacturing plants focusing on operational excellence through data mining, predictive modeling, and custom algorithm development.
Manage digital transformation projects end-to-end including planning, budgeting, progress tracking and ensuring regulatory compliance in manufacturing contexts.
Collaborate with cross-functional teams and external partners to promote adoption of AI and data analytics technologies, measuring impact through cost savings and project delivery metrics.
Bachelor's degree in Software, IT, Electronics/Electrical, or Data Science-related program; Data Scientist Masters Program preferred.
2-4 years of experience in manufacturing industry as data analyst or data scientist.
Proficient in programming languages: C, C++, R, Python, Java.
Experience with statistical and data mining techniques (GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis) and data visualization tools (Power BI, Tableau).
Experience driving digital transformation initiatives specifically in manufacturing operational contexts with measurable improvements such as cost savings.
Proven ability to manage multiple projects with cross-functional stakeholders and external partners in complex industrial environments.
Strong technical expertise combined with strategic thinking to implement AI/data analytics solutions and foster technology adoption at scale.