System Innovation Analyst (Entry- Level)

CS WIND America Inc.; Pueblo (CO); On-site; USD 110,000 - 170,000; Full time

Job summary

CS WIND America Inc. in Pueblo, Colorado, seeks a Lead Data Science professional to drive a digital transformation through AI system implementation in a manufacturing setting. You will ensure AI solutions align with real processes and coordinate milestones with cross-functional teams.

You will analyze model performance, maintain auditable documentation, support governance, and collaborate with production, quality, engineering, HR and planning to ensure data integrity and continuous improvement.

Qualifications

• Bachelor’s degree in Data Science or Data Analytics-related major.
• Must have taken “Machine Learning & Data Mining” and “Data Integration & Fusion” courses.

Responsibilities

• Lead and support AI system implementation ensuring alignment with manufacturing processes.
• Develop project milestones and track progress to meet timelines.
• Maintain audit-ready documentation with traceability of model updates, dataset refinements, and configuration changes.
• Support governance and compliance by preparing structured reports and ensuring adherence to internal standards and regulatory requirements.
• Analyze AI model performance and refine training datasets and configurations to improve accuracy and applicability.
• Analyze production data, risk indicators, and performance gaps to deliver actionable insights and early warnings.
• Monitor KPIs, utilization metrics, and operational performance of AI algorithms to ensure continuous improvement.
• Organize and lead global functional workshops to align stakeholders on AI integration roadmap and accelerate project milestones.
• Collaborate with production, quality, engineering, HR, and planning teams to ensure data consistency and accuracy across systems.
• Monitor system performance post-deployment, identify improvement opportunities, and drive continuous enhancement cycles.

Education

Bachelor's degree in Data Science

Job description

(1) Lead and support the digital transformation project with AI system implementation

• Ensure developed new AI system is aligned with real manufacturing processes;
• Develop project milestones and track the process to meet target timelines;
• Maintain audit-ready documentation with full traceability of model updates, dataset refinements, and configuration changes; and
• Support governance and compliance processes by preparing structured reports and ensuring adherence to internal standards and regulatory requirements.

(2) Analyze AI model performance and operational optimization

• Review algorithm outputs, refine training datasets and adjust AI configurations to improve system accuracy and operational applicability;
• Conduct analysis of production data, risk indicators, and performance gaps to deliver actionable insights and early warnings;
• Optimize and monitor KPIs, utilization metrics, and operational performance of AI algorithms to ensure continuous improvement.

(3) Communicate with internal and external stakeholders

• Organize and lead global functional workshops to align stakeholders on AI integration roadmap and accelerate project milestones; and
• Collaborate with production, quality, engineering, HR, and planning teams to ensure data consistency and accuracy across systems.

(4) Manage the system after implementation

• Monitor system performance post-deployment, identify improvement opportunities, and drive continuous enhancement cycles;
• Support shop-floor and operational teams by troubleshooting system-related issues, validating system behavior against real production scenarios, and coordinating timely resolution.

Requirements

• Bachelor’s degree in Data Science or Data Analytics-related major
• must have taken “Machine Learning & Data Mining” and “Data Integration & Fusion” courses.