Partner with business leaders to identify high-value opportunities, lead data science initiatives, and architect scalable machine learning solutions.
Requirements
- Master’s degree in a quantitative discipline
- Five or more years of professional data science experience in manufacturing and/or supply chain environments
- Hands-on experience working with ERP data and operational processes
- Proven ability to communicate complex concepts to technical and non-technical audiences
- Advanced proficiency in Python, SQL, and PySpark
- Deep expertise in machine learning, forecasting, and optimization
- Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
- Proficient in at least one data visualization library
- Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
- Demonstrated ability to drive business impact and ROI through analytics
- Strong track record of executive-level communication and influence
- Experience leading cross-functional teams across multiple geographies
To apply for this job please visit egay.fa.us6.oraclecloud.com.
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