Description

Lead data science initiatives to drive insights and operational efficiency within a manufacturing environment.

Responsibilities

• Design and develop algorithms and models against large datasets to generate business insights.
• Lead data science and analytics projects independently, from solution development to execution.
• Build and maintain predictive and prescriptive models in production at enterprise scale.
• Develop simulation, optimization, and what-if scenario planning tools to support decision making.
• Communicate technical insights and recommendations to both technical and non-technical stakeholders.

Required Skills

• 7+ years of practical experience in data science, processing, and analytics.
• Experience in manufacturing domains such as Smart Factory, Industry 4.0, or OEE.
• Experience with predictive maintenance and parts management using AI/ML on robotic manufacturing lines.
• Advanced knowledge of cloud big data, database technologies, and data pipeline development.
• Experience building and running simulation and optimization tools.
• Proven ability to lead projects and collaborate across cross-functional teams.
• Expertise in sifting through data, identifying critical information, and developing hypotheses.
• Advanced degree in Operations Research, Management Science, Industrial Engineering, Statistics, Mathematics, Economics, Computer Science, or a related field.

Preferred Skills

• Experience with the Microsoft Azure stack, including Databricks and Power BI.

Key Skills

Education

Any Graduate