Scope of Position:
You will be joining the Data Science and Innovation Team for the Corning Life Science division. Depending on your skills and interests, you will contribute to a variety of projects, including but not limited to revenue forecasting, manufacturing simulation and optimization, and applications of generative AI.
This role is well suited for a motivated self-starter who takes initiative, follows through on assignments, and is eager to grow their technical and business acumen. Strong communication skills are essential, as you will be expected to clearly explain analytical approaches, insights, and results to both technical and non-technical audiences.
Day to Day Responsibilities:
- 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
Required Education and Years of Experience:
- 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
Required Skills:
- Proficiency in SQL, Python, Spark
- Proficiency in data preprocessing, feature engineering, and exploratory data analysis
- Experience applying common machine learning techniques (e.g., regression, classification, tree-based models), with an understanding of key parameters and trade-offs
- Experience with MLOps fundamentals including experiment tracking, model versioning, validation, and monitoring
- Ability to translate business problems into analytical approaches and communicate results clearly
Desired Skills:
- Experience with Databricks is a plus
- Experience building lightweight machine learning applications (e.g., Streamlit) that enable business users to explore, interact with, or apply model results
- Experience with operations research techniques
- Experience building generative AI applications
This position does not support immigration sponsorship.
