Data Scientist Senior 35618 Juncos, PR
Job Location:
Juncos - Puerto Rico
Monthly Salary:
Experience Required:
Posted:
Application Deadline:
Vacancies:
Job Summary
- The ideal candidate should demonstrate a strong combination of technical analytical and operational skills to support AI-enabled optimization resource planning and validation-related initiatives within Drug Product.
- A standout candidate would have experience or demonstrated capability in the following areas:
- Data analytics and visualization.
- Ability to collect organize clean analyze and interpret complex operational or manufacturing data. Experience with tools such as Excel Power BI Smartsheet JMP Minitab or similar platforms would be highly valuable.
- Programming automation and AI-enabled tools.
- Foundational programming or automation experience including exposure to Python Codex AI-assisted coding tools Power Automate scripting database structure or digital workflow development. The candidate does not need to be an expert programmer but should be comfortable learning and applying digital tools to solve business problems.
- Statistical and process evaluation mindset.
- Understanding of basic statistics process variability trending capacity evaluation data comparison and performance monitoring. This would support both workload forecasting and characterization/validation data evaluation.
- Validation and/or GMP documentation experience.
- Knowledge of GMP expectations validation lifecycle activities protocol/report development documentation practices data integrity discrepancy follow-up and compliance-driven execution.
- Strong communication and stakeholder engagement.
- Ability to work with cross-functional teams gather user requirements translate business needs into tool requirements and communicate findings clearly to management and technical stakeholders.
- Be available to support non-standard shift when activities are required.
- The following educational backgrounds may be considered provided the candidates experience meets the role requirements: Industrial Engineering Systems Engineering Computer Science Chemical Engineering Biomedical Engineering Biotechnology Manufacturing Engineering or a related technical discipline.
- A background in Engineering is highly preferred due to the projects focus on resource planning workload modeling capacity evaluation process optimization and operational efficiency. However candidates from science or data-focused backgrounds may also be strong fits if they demonstrate experience with data analytics digital tools GMP operations and validation support.
Required Skills:
The ideal candidate should demonstrate a strong combination of technical analytical and operational skills to support AI-enabled optimization resource planning and validation-related initiatives within Drug Product. A standout candidate would have experience or demonstrated capability in the following areas: Data analytics and visualization. Ability to collect organize clean analyze and interpret complex operational or manufacturing data. Experience with tools such as Excel Power BI Smartsheet JMP Minitab or similar platforms would be highly valuable. Programming automation and AI-enabled tools. Foundational programming or automation experience including exposure to Python Codex AI-assisted coding tools Power Automate scripting database structure or digital workflow development. The candidate does not need to be an expert programmer but should be comfortable learning and applying digital tools to solve business problems. Statistical and process evaluation mindset. Understanding of basic statistics process variability trending capacity evaluation data comparison and performance monitoring. This would support both workload forecasting and characterization/validation data evaluation. Validation and/or GMP documentation experience. Knowledge of GMP expectations validation lifecycle activities protocol/report development documentation practices data integrity discrepancy follow-up and compliance-driven execution. Strong communication and stakeholder engagement. Ability to work with cross-functional teams gather user requirements translate business needs into tool requirements and communicate findings clearly to management and technical stakeholders. Be available to support non-standard shift when activities are required. ing applied mathematics business analytics engineering computer science or related field experience OR Bachelors 4 years of data science business statistics data mining applied mathematics business analytics engineering computer science or related field experience OR Associates 8 years of data science business statistics data mining applied mathematics business analytics engineering computer science or related field experience OR High school/GED 10 years of data science business statistics data mining applied mathematics business analytics engineering computer science or related field experience The following educational backgrounds may be considered provided the candidates experience meets the role requirements: Industrial Engineering Systems Engineering Computer Science Chemical Engineering Biomedical Engineering Biotechnology Manufacturing Engineering or a related technical discipline. A background in Engineering is highly preferred due to the projects focus on resource planning workload modeling capacity evaluation process optimization and operational efficiency. However candidates from science or data-focused backgrounds may also be strong fits if they demonstrate experience with data analytics digital tools GMP operations and validation support.
Required Education:
MUST qualify in the categories as follows: Doctorate OR Masters 2 years of data science business statistics data min
