Process Data Scientist - AI-Driven Process Optimization

Corning; Charlotte (NC); On-site; USD 91,000 - 126,000; Full time

Benefits offered by this job

Bonuses & incentives

Pension plan

401(k) matching

Medical, dental, vision

Job summary

Corning is seeking a Process Data Scientist to act as an embedded technical partner for process engineering and manufacturing teams in Charlotte, NC. You will apply statistics, advanced analytics, ML, and AI to strengthen process understanding, control, quality, yield, and cost, delivering scalable solutions across sites.

The role involves planning experiments, building predictive models, and communicating results to stakeholders while leveraging Python, SQL, and big-data platforms such as

Qualifications

• Bachelor's degree in data-related field.
• 3+ years of data science experience in manufacturing or industrial settings.
• Proficiency in Python and SQL; experience with Databricks, Spark, Hadoop.
• Strong statistical modeling, ML, and data mining knowledge.
• Advanced data visualization skills (Power BI, Tableau).
• Excellent communication and leadership abilities.

Responsibilities

• Collaborate with process engineering, manufacturing, quality, technology, IT, and data teams to define analytical problems.
• Plan, run, and interpret designed experiments and statistical analyses.
• Analyze manufacturing/quality data to identify variation sources and quantify relationships.
• Build predictive and prescriptive models for anomaly detection, predictive maintenance, throughput, and defect reduction.
• Apply AI capabilities in manufacturing, including computer vision and generative AI.
• Prepare data with Python/SQL and big-data platforms; create reusable analyses and dashboards.
• Communicate findings to technical and non-technical stakeholders and drive actionable outcomes.

Skills

Python

SQL

Statistical modeling

Machine learning

Data visualization

Leadership

Communication

Education

Bachelor's degree in Data Science/Computer Science/Statistics or related field

Master’s or Ph.D. preferred

Tools

Databricks

Spark

Hadoop

JMP

Minitab

Power BI

Tableau

Job description

Corning is seeking a Process Data Scientist to act as an embedded technical partner for process engineering and manufacturing teams in Charlotte, NC. You will apply statistics, advanced analytics, ML, and AI to strengthen process understanding, control, quality, yield, and cost, delivering scalable solutions across sites.

The role involves planning experiments, building predictive models, and communicating results to stakeholders while leveraging Python, SQL, and big-data platforms such as