Industrial Data Scientist — AI for Manufacturing

Corning, Inc.; McAllen (TX); On-site; USD 91,000 - 126,000; Full time

Benefits offered by this job

Bonuses & incentives

401(k) matching

Excellent health benefits

Job summary

Corning seeks a Process Data Scientist to partner with process engineering and manufacturing teams. The role applies statistics, ML and AI to improve process understanding, quality, yield and cost. You will handle data from MES, ERP, sensors, and control systems to build scalable analytical solutions.

You will design experiments, develop predictive models, and communicate findings with technical and non‑technical stakeholders, coaching teams in statistical thinking.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
• 3+ years in data science, statistics, or related field, preferably in manufacturing.
• Proficiency in Python and SQL, with experience on big data platforms (Databricks, Spark, Hadoop).
• Strong foundation in statistical modeling, ML, and data mining techniques.
• Advanced data visualization skills (Power BI, Tableau or similar).
• Excellent communication and leadership across levels.

Responsibilities

• Frame business questions as well-defined analytic problems with cross‑functional teams.
• Plan, execute, and analyze designed experiments and statistical methods.
• Analyze data to identify sources of variation and quantify relationships.
• Develop predictive and prescriptive models for anomaly detection and optimization.
• Explore AI capabilities including computer vision and generative AI in manufacturing.
• Prepare data with Python/SQL and big-data platforms to build reproducible analyses.
• Create dashboards and technical summaries for stakeholders.
• Train engineers and stakeholders in statistical thinking and analytics.

Skills

Python

SQL

Statistical modeling

Machine learning

Data visualization

Communication & leadership

Education

Bachelor's degree in Data Science or related field

Master's degree or Ph.D. (preferred)

Tools

Databricks

Spark

Hadoop

JMP

Minitab

OSI PI

Job description

Corning seeks a Process Data Scientist to partner with process engineering and manufacturing teams. The role applies statistics, ML and AI to improve process understanding, quality, yield and cost. You will handle data from MES, ERP, sensors, and control systems to build scalable analytical solutions.

You will design experiments, develop predictive models, and communicate findings with technical and non‑technical stakeholders, coaching teams in statistical thinking.