AI Data Scientist

Copperweld Bimetallics LLC• US,

13h•Onsite

About The Position

Copperweld is seeking a driven and innovative AI Data Engineer / Scientist to support enterprise-wide analytics, automation, and AI initiatives across the organization. This position will play a key role in improving operational visibility, automating business processes, and enabling data-driven decision-making across finance, sales, procurement, operations, and executive leadership. The ideal candidate will combine strong technical expertise with practical business acumen and the ability to deliver high-impact solutions in a fast-paced manufacturing environment.

Requirements

Bachelor’s degree in Data Science, Computer Science, Engineering, Analytics, Information Systems, or related field required.
Strong SQL, data modeling, and reporting experience required.
Excellent verbal, written, and presentation skills.

Nice To Haves

5+ years of experience in data engineering, analytics, business intelligence, or applied AI roles preferred.
Experience with Python or similar programming languages preferred.
Experience with ERP systems, reporting tools, and enterprise data environments preferred.
Proven success implementing AI, workflow automation, data visualization platforms. and advanced analytics solutions that improved operational efficiency, reporting capabilities, decision-making, or business performance.
Strong analytical, problem-solving, and organizational skills.
Ability to communicate technical concepts effectively to non-technical stakeholders.
Highly collaborative, flexible, and action-oriented with a bias for results.
Strong business acumen with the ability to identify practical, high-value solutions.
Ability to thrive in a fast-paced manufacturing environment while managing multiple priorities.

Responsibilities

Design, build, and maintain data pipelines and integrations across ERP (PLEX), CRM, financial, and operational systems.
Develop automated reporting and dashboard solutions to improve visibility and reduce manual reporting efforts.
Build and deploy AI-enabled tools for workflow automation, anomaly detection, and business analytics.
Develop pricing and margin analysis tools to identify inconsistencies, trends, and opportunities.
Support automation initiatives related to procurement, sales reporting, and operational KPI monitoring.
Create standardized GPT and AI-enabled tools for repeatable business processes and reporting functions.
Assist in capacity modeling, forecasting, and operational planning initiatives.
Collaborate cross-functionally with operations, finance, commercial, and leadership teams to identify high-ROI automation opportunities.
Support data governance, reporting accuracy, and enterprise data consistency initiatives.
Assist in evaluating and implementing emerging AI and analytics technologies applicable to the manufacturing environment.
Travel to Copperweld manufacturing and operational facilities as needed to support implementation and collaboration efforts.