Data Scientist- Manufacturing/Automation

Scorpion Therapeutics; New Albany (OH); On-site; USD 95,000 - 135,000; Full time

Job summary

Amgen Ohio's Data Science team is seeking a Data Scientist to develop real-time reports, dashboards and scalable data pipelines to support manufacturing, supply chain, and operational performance.

Responsibilities include extracting data from SAP, MES, LIMS and IIoT platforms; applying statistics, machine learning and predictive modeling; and collaborating with cross-functional teams to identify process improvements and automation opportunities.

Qualifications

• Master’s or Bachelor’s degree in data science, engineering, or related fields.
• 2+ years of experience for Bachelor’s degree.
• 8+ years of experience with a high school diploma.

Responsibilities

• Extract and integrate data from SAP, MES, LIMS, and IIoT platforms.
• Apply statistical analysis, machine learning, and predictive modeling.
• Support advanced analytics such as predictive maintenance and computer vision.
• Collaborate cross-functionally to identify process improvements and automation opportunities.

Skills

Python

SQL

Data pipelines

Analytical tools

Education

Bachelor’s or Master’s in data science/engineering

4+ years experience with Bachelor’s

8+ years with high school diploma

Tools

Databricks

Job description

Role: Data Scientist within Amgen Ohio’s Data Science team, focusing on developing real-time reports, dashboards, data products, and scalable data pipelines to support manufacturing, supply chain, and operational performance.

Responsibilities include extracting and integrating data from systems like SAP, MES, LIMS, and IIoT platforms; applying statistical analysis, machine learning, and predictive modeling; supporting advanced analytics such as predictive maintenance and computer vision; and collaborating cross-functionally to identify process improvements and automation opportunities.

Qualifications: Master’s or Bachelor’s degree in data science, engineering, or related fields, with relevant experience (2+ years for Bachelor’s, 6+ years for Associate’s, or 8+ years with high school diploma).

Skills: strong Python and SQL, experience with cloud data platforms (e.g., Databricks), building data pipelines, and developing analytical tools.

Preferred: manufacturing or biopharma experience, familiarity with IIoT, time-series data, AI technologies, and software engineering practices.

High-Value: biopharma manufacturing data, industry-specific systems, and digital solutions supporting operational excellence in a biotech manufacturing setting.

Work setup: not specified, but implies collaboration across site functions with an emphasis on digital transformation.