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Tier-1 brand, metro location, and a broad mid-level ML/analytics role drive high competition.
Role expects semiconductor equipment and service-operations domain knowledge, reducing cross-industry transferability.
Explicit 3–7 years plus mandatory ML, optimization, and domain skills creates high shortlisting strictness.
Develop and deploy advanced analytics, machine learning, and optimization algorithms to improve productivity and operational efficiency in service operations.
Analyze complex operational and field data to identify opportunities and deliver scalable, data-driven business improvements connected to customer outcomes and revenue growth.
Collaborate cross-functionally to drive end-to-end execution of algorithmic solutions from development to adoption, measurement, and continuous improvement.
Bachelor's or Master's degree in Data Science, Engineering, Mathematics, Statistics, Industrial Engineering, Operations Research, or related technical field.
3 to 7 years of experience in algorithm development, analytics, machine learning, industrial engineering, productivity improvement, or related technical roles.
Strong proficiency in Python, with experience in SQL and data visualization tools like Tableau, Power BI, JMP, or Excel.
Work Experience Required: 3 to 7 years in relevant technical roles.
Engineering-oriented developer comfortable with operational and customer-facing challenges and capable of delivering actionable, decision-driven analytical solutions.
Experienced in cross-functional collaboration, able to influence and manage priorities globally across sales, service, operations, and engineering teams.
Focused on execution and measurable business outcomes, combining analytical depth with ownership and continuous improvement mindset.