Corning is looking to drive strategic decision-making and operational excellence across the organization through process improvement, leveraging machine learning, statistical modeling, and big data technologies to uncover insights, optimize processes, and support the digital transformation journey, including Manufacturing 4.0 initiatives.
Requirements
- Proficiency in Python, R, SQL, and experience with big data platforms (e.g., Databricks, Spark, Hadoop).
- Strong foundation in statistical modeling, machine learning, and data mining techniques.
- Experience with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
- Advanced data visualization skills using Power BI, Tableau, or similar tools.
- Experience with manufacturing systems (MES, ERP) and industrial data platforms (e.g., OSI PI).
- Familiarity with MLOps practices and tools for model deployment and monitoring.
Responsibilities
- Design and implement scalable data science solutions for complex business problems across manufacturing, engineering, and operations.
- Lead cross-functional analytics projects from ideation to deployment, ensuring alignment with business goals.
- Develop predictive and prescriptive models using machine learning, deep learning, and statistical techniques.
- Architect and maintain robust data pipelines and analytical frameworks in collaboration with data engineering and IT teams.
- Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation.
- Partner with stakeholders to translate business needs into data-driven strategies and actionable insights.
- Create compelling visualizations and dashboards using tools like Power BI or Tableau to communicate findings effectively.
Other
- Bachelor’s in Data Science, Computer Science, Engineering, Statistics, or a related field.
- 5+ years of experience in data science, analytics, or a related field, preferably in a manufacturing or industrial setting.
- Excellent communication and leadership skills with the ability to influence at all levels of the organization.
- This position does not support immigration sponsorship.
- Travel requirements not specified
