Process Data Scientist — AI & ML for Manufacturing Excellence

Corning, Inc.; City of Corning (NY); Sur place; USD 91 000 - 126 000; Plein temps

Avantages offerts par ce poste

Bonuses & incentives

Pension plan

401(k) with company match

Comprehensive health benefits

Paid time off

Parental leave

Résumé du poste

Corning, Inc. in Corning, NY seeks a Process Data Scientist to apply statistics, ML, and AI to improve process understanding, quality, yield, and cost across manufacturing. You will work with MES, ERP data, sensors, and QC systems to build scalable analytics.

You will develop predictive models, design experiments, and create dashboards with Python, SQL, Databricks, Power BI, and Tableau. This role requires independent problem solving and collaboration with process engineers and IT.

Qualifications

• 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 setting.
• Proficiency in Python and SQL, with experience using big data platforms (e.g., Databricks, Spark, and Hadoop).
• Strong foundation in statistical modeling, machine learning, and data mining techniques.
• Advanced data visualization skills using Power BI, Tableau, or similar tools.
• Excellent communication and leadership skills with the ability to influence at all levels of the organization.

Responsabilités

• Partner with cross-functional teams to frame business questions as analytical problems.
• Plan, execute, and analyze designed experiments, SPC, and hypothesis tests.
• Analyze data to identify sources of variation and recommend actions.
• Develop predictive and prescriptive models using ML and statistics for anomaly detection and optimization.
• Explore AI capabilities, including computer vision and generative AI, in a manufacturing setting.
• Create dashboards, reports, and summaries for technical and non-technical stakeholders.
• Train and coach engineers in statistical thinking and analytics.

Connaissances

Python

SQL

Statistical modeling

Machine learning

Data visualization

Power BI

Tableau

Formation

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

Outils

Databricks

Spark

Hadoop

OSI PI

JMP

Minitab

Description du poste

Corning, Inc. in Corning, NY seeks a Process Data Scientist to apply statistics, ML, and AI to improve process understanding, quality, yield, and cost across manufacturing. You will work with MES, ERP data, sensors, and QC systems to build scalable analytics.

You will develop predictive models, design experiments, and create dashboards with Python, SQL, Databricks, Power BI, and Tableau. This role requires independent problem solving and collaboration with process engineers and IT.