Sr Data Scientist

QRC Group, LLC • Juncos, PR

9d

About The Position

We are seeking a Sr Data Scientist with knowledge of technical, analytical, and operational skills to support AI-enabled optimization, resource planning, and validation-related initiatives within Drug Product.

Requirements

• Doctorate or Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
• Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
• Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience (Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a related technical discipline)
• Bilingual (Spanish/English) (Speak/Write)
• Technical Writing skills

Nice To Haves

• Experience with tools such as Excel, Power BI, Smart-sheet, JMP, Minitab, or similar platforms.
• Foundational programming or automation experience, including exposure to Python, Codex, AI-assisted coding tools, Power Automate, scripting, database structure, or digital workflow development.
• Understanding of basic statistics, process variability, trending, capacity evaluation, data comparison, and performance monitoring.
• Knowledge of GMP expectations, validation lifecycle activities, protocol/report development, documentation practices, data integrity, discrepancy follow-up, and compliance-driven execution.
• Ability to work with cross-functional teams.

Responsibilities

• Support AI-enabled optimization, resource planning, and validation-related initiatives.
• Collect, organize, clean, analyze, and interpret complex operational or manufacturing data.
• Utilize programming, automation, and AI-enabled tools to solve business problems.
• Apply a statistical and process evaluation mindset to support workload forecasting and characterization/validation data evaluation.
• Engage in validation and/or GMP documentation activities.
• Communicate findings clearly to management and technical stakeholders.
• Gather user requirements and translate business needs into tool requirements.
• Support non-standard shifts when activities are required.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior