Manufacturing Data Scientist - Process Analytics & AI

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

Benefits offered by this job

Bonuses & incentives

Pension plan

401(k) matching

Medical/Dental/Vision

Paid parental leave

Life insurance

Disability coverage

Paid time off

Employee assistance program

Recognition program

Job summary

Corning is seeking a Process Data Scientist to partner with process engineering and manufacturing teams. You will apply statistics, ML, and AI to improve process understanding, quality, yield, and cost across manufacturing sites in the Austin area.

You will work with data from MES, ERP, sensors, and control systems; develop predictive and prescriptive models using Python, SQL, and Databricks; create dashboards; and train engineers in analytical thinking, delivering actionable business impact.

Qualifications

• Bachelor’s degree in data science, CS, statistics or related field.
• 3+ years in data science or related field, manufacturing preferred.
• Python and SQL proficiency with big data platforms (Databricks, Spark, Hadoop).
• Strong foundation in statistical modeling, ML, and data mining.
• Advanced data visualization skills (Power BI, Tableau).
• Excellent communication and leadership abilities.

Responsibilities

• Frame business questions as analytical problems with cross‑functional teams.
• Plan and analyze designed experiments, SPC, and hypothesis tests.
• Identify variation sources and quantify relationships to guide actions.
• Develop predictive and prescriptive models using ML and statistics.
• Explore AI capabilities, including computer vision and generative AI.
• Prepare data with Python/SQL and Databricks for scalable analyses.
• Create dashboards and technical summaries for stakeholders.
• Develop reusable analytical methods and templates.
• Train engineers and stakeholders in statistical thinking and AI.
• Deliver value in ambiguous problems with limited data.

Skills

Python

SQL

Big data platforms

Statistical modeling

Data visualization

Communication

Leadership

Education

Bachelor’s degree in data science, CS, statistics, or related field

Tools

Databricks

Spark

Hadoop

Power BI

Tableau

JMP

Minitab

OSI PI

Job description

Corning is seeking a Process Data Scientist to partner with process engineering and manufacturing teams. You will apply statistics, ML, and AI to improve process understanding, quality, yield, and cost across manufacturing sites in the Austin area.

You will work with data from MES, ERP, sensors, and control systems; develop predictive and prescriptive models using Python, SQL, and Databricks; create dashboards; and train engineers in analytical thinking, delivering actionable business impact.