Data Scientist Senior - 35618 - Juncos, PR

Integrated Services for Productivity & Validation, Inc; Juncos (PR); On-site; USD 90,000 - 130,000; Part time

Job summary

Integrated Services For Productivity & Validation, Inc is seeking a data science professional to support AI-enabled optimization, resource planning, and validation initiatives in Drug Product. The role emphasizes data collection, analysis, and tool development to improve operational efficiency.

You will work with cross-functional teams to translate business needs into technical requirements, ensure data integrity, and contribute to validation/documentation activities within GMP frameworks.

Qualifications

• Advanced data analytics and interpretation of complex data
• Experience with Excel, Power BI, Smartsheet, JMP or Minitab preferred
• Programming, automation, and AI-enabled tooling experience desirable
• Foundational understanding of statistics and process validation
• GMP/validation documentation and data integrity awareness
• Strong communication with cross-functional teams and stakeholders
• Willingness to support non-standard shifts when needed

Responsibilities

• Support AI-enabled optimization, resource planning and validation initiatives in Drug Product.
• Collect, organize, analyze and interpret manufacturing data across processes.
• Develop and apply digital tools to solve business problems.
• Communicate findings clearly to management and technical stakeholders.

Skills

Data analytics

Communication

Stakeholder engagement

Cross-functional teamwork

Statistics interpretation

Education

Doctorate

Masters + 2 years data science or related

Bachelors + 4 years data science or related

Associates + 8 years data science or related

High school/GED + 10 years data science or related

Industrial Engineering background

Systems Engineering background

Computer Science background

Tools

Excel

Power BI

Smartsheet

JMP

Minitab

Python

Codex

Power Automate

Job description

Integrated Services For Productivity & Validation, Inc

Contract

Juncos, Puerto Rico

We provide the industry with a platform of solutions designed to their actual needs. We share and implement leading edge technology and methods that exceed customer expectation and deliver a one-stop provider of services focus on the well-being of the company and the employees.

Job Description

• 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.

Requirements

MUST qualify in the categories as follows:

Doctorate OR Masters + 2 years of data science, business, statistics, data mining, 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 candidate’s 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 project’s 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.