Job Description
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Identify, retrieve, clean, and validate data across multiple sources using SQL, Python, and Spark to ensure data quality and usability
Apply advanced analytics, machine learning, and AI techniques to understand, predict, and optimize key business drivers and opportunities
Build, deploy, and maintain production-ready models using Databricks, MLOps practices, and GitLab CI/CD
Create clear model documentation and communicate results and insights to both technical and non-technical stakeholders
Participate in the Corning-wide data community Bachelor’s or Master’s degree in Data Science, Computer Science, Operations Research, or a related quantitative field
Minimum of 3 years of professional experience in data science or related roles Proficiency in SQL, Python, Spark
Proficiency in data preprocessing, fea...
Required Education and Years of Experience:
Required Skills:
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