Title: AI & Data Scientist (Medical Devices)

Location: Puerto Rico (Open to Puerto Rico residents who are U.S. Citizens)

Work Arrangement: 100% Onsite

Duration: 12-Month Contract

Expected Start Date: December 2025

Employment Type: Contract position through ProQuality Network supporting our client in the medical device industry

Position Summary

ProQuality Network is seeking a highly motivated and analytical Data Scientist to support our client’s ongoing digital transformation initiatives within the medical device sector. The selected professional will play a key role in developing and executing advanced data strategies that enable the transition from reactive to predictive operations. This position requires a strong combination of technical expertise, data-driven thinking, and business insight to deliver impactful improvements in process efficiency, quality, and performance.

Scope of Work / Key Responsibilities

• Design, implement, and maintain data collection, storage, and archiving pipelines to ensure efficient access and analysis.
• Integrate data from multiple enterprise and manufacturing systems, including MES, SAP, and equipment-level data sources.
• Ensure both real-time and historical data integrity for ongoing monitoring and analytical applications.
• Conduct exploratory data analysis (EDA), statistical evaluations, and correlation studies to uncover patterns and actionable insights.
• Develop and deploy predictive models and machine learning algorithms that drive proactive decision-making and operational optimization.
• Collaborate with business stakeholders to define KPIs, build dashboards, and deliver visual analytics that support continuous improvement.
• Evaluate current operational processes to identify opportunities for automation, digital enablement, and process enhancement.
• Implement data-driven workflows that enhance productivity, reliability, and compliance within manufacturing operations.
• Partner with IT, engineering, and business process owners to align initiatives with corporate digital transformation goals.
• Document all data methodologies, model development processes, and system architecture to support sustainability and future scalability.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, Statistics, or a related discipline.
• Minimum of 3 years of professional experience in data science, analytics, or machine learning — preferably within manufacturing or medical device environments.
• Demonstrated experience developing and deploying data pipelines, analytical models, and predictive algorithms.
• Proficiency in Python, SQL, and data visualization tools such as Power BI or Tableau.
• Familiarity with cloud data platforms (Azure, AWS, or GCP) and integration of enterprise systems (MES, SAP, or similar).
• Strong understanding of industrial IoT, manufacturing data systems, and equipment-level data integration.
• Exceptional problem-solving and communication skills, with the ability to convey complex analytical concepts in business terms.
• Self-motivated, detail-oriented, and able to work effectively both independently and within cross-functional teams.

Deliverables

• Comprehensive data pipeline strategy and implementation plan.
• Development and deployment of predictive and analytical models supporting key operational areas.
• Design and delivery of dashboards and visualization tools for ongoing data monitoring.
• Complete documentation of data architecture, methodologies, and long-term adoption recommendations.

Application Instructions

If you are a results-driven data professional passionate about leveraging analytics to transform manufacturing and medical device operations, we invite you to apply through the job description link with your most updated resume for immediate consideration.