Process Data Scientist

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 this onsite role in Charlotte, NC, you will apply statistics, advanced analytics, machine learning, and AI to strengthen process understanding, control, capability, quality, yield, and cost. The position focuses on turning manufacturing and quality data into practical, scalable solutions across sites.

Key responsibilities

• Collaborate with process engineering, manufacturing, quality, technology, IT, and data engineering teams to translate business and technical questions into well-defined analytical problems.
• Plan, run, and interpret designed experiments, statistical process control, measurement system analyses, hypothesis tests, and other statistical methods.
• Analyze manufacturing and quality data to pinpoint variation sources, quantify input-output relationships, form evidence-based conclusions, and recommend actions.
• Build predictive and prescriptive models using statistical and machine learning techniques for use cases such as anomaly detection, predictive maintenance, throughput improvement, process optimization, and defect reduction.
• Investigate and apply AI capabilities in manufacturing, including computer vision and generative AI.
• Use Python, SQL, and big-data platforms (including Databricks) to prepare data, engineer features, build reproducible analyses, and support work with large and complex datasets.
• Work with data engineering and IT partners to define analysis-ready datasets, data-quality checks, contextual data needs, and scalable analytical workflows.
• Create dashboards, reports, visualizations, and technical summaries that communicate process performance, findings, limitations, and recommended next steps to technical and non-technical stakeholders.
• Develop reusable analytical methods, code, templates, and standards to improve consistency across sites and reduce duplicated effort.
• Train and coach engineers and other stakeholders in statistical thinking, data interpretation, and appropriate use of advanced analytics and AI.
• Deliver value even when problems are loosely defined and data is incomplete, using initiative, sound judgment, scientific rigor, and attention to detail.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science, statistics, or a related field, preferably in a manufacturing or industrial environment.
• Strong proficiency in Python and SQL, with experience using big data platforms such as Databricks, Spark, and Hadoop.
• Solid foundation in statistical modeling, machine learning, and data mining techniques.
• Advanced data visualization skills with Power BI, Tableau, or similar tools.
• Excellent communication and leadership skills, with the ability to influence across levels of the organization.

Technologies

• Python, SQL, Databricks, Spark, Hadoop
• Power BI, Tableau
• Computer vision, Generative AI

Benefits

• Company-wide bonuses and long-term incentives
• 100% company-paid pension benefit with fixed contributions that grow throughout your career
• Matching contributions to your 401(k) savings plan (total contributions can reach between 7% and 12% of your pay, depending on age and years of service)
• Medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP)
• Recognition program

Preferred qualifications

• Master’s degree or Ph.D. in a data-related field such as statistics, data science, computer science, or a related discipline
• 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
• Experience with JMP and/or Minitab statistical software
• Knowledge of Lean Six Sigma, quality engineering, process improvement, and Manufacturing 4.0 concepts
• Bilingual or multilingual capability and experience working with global teams

Travel and immigration

• Up to 20% travel, including international travel to support global teams and initiatives.
• Normal business hours expected, with flexibility to collaborate across regions and time zones as needed.
• This position does not support immigration sponsorship.

Compensation and location

This onsite position is located in Charlotte, NC. The salary range is USD 91,311 to 125,553 per year for full-time status. Starting pay is dependent on factors including geographic location, market demands, experience, training, and education.