Sr. Data Scientist 35618

ProQuality Network; Juncos (PR); On-site; USD 95,000 - 135,000; Full time

Job summary

ProQuality Network seeks a Senior Data Scientist to lead analytics initiatives across Puerto Rico operations, driving end-to-end data-driven decisions for manufacturing processes.

The role requires collaboration with cross-functional teams to translate business needs into actionable insights, build models, and present findings. Candidates should have strong programming, statistics, and data visualization skills, with GMP/regulatory awareness and a proactive, independent work style.

Qualifications

• Advanced analytics leadership across multiple projects.
• Strong statistical and data mining capabilities.
• Experience translating business needs into analytical solutions.
• Proficiency with Python, R, SAS or Scala for modeling.

Responsibilities

• Lead analytics, data science, ML, and AI-enabled projects from concept through implementation.
• Partner with stakeholders to identify business needs and translate them into analytical solutions.
• Develop methodologies, predictive models, prototypes, algorithms, and proofs-of-concept.
• Analyze complex manufacturing datasets to identify trends, opportunities, and risks.
• Support resource planning, workload modelling, capacity evaluation, and process optimization.
• Apply statistical methods to evaluate performance, capacity, and outcomes.
• Work with SQL and other databases to extract and analyze data.
• Develop dashboards and presentations to communicate findings to technical and business audiences.
• Use Excel, Power BI, Smartsheet, JMP, Minitab, or similar tools to analyze data.
• Collaborate with partners and technical teams to define requirements and develop data-driven solutions.
• Manage projects with minimal supervision and clear progress reporting.
• Conduct structured business assessments and recommend analytical approaches.
• Create compelling data-driven stories using PowerPoint and Office tools.
• Support GMP, regulatory, security and data integrity requirements.
• Occasionally support activities outside standard schedule.

Skills

Python

R

SAS

Scala

Machine learning

Data visualization

SQL

Leadership

Education

Doctorate in Data Science

Master's degree + 2 years of relevant experience

Bachelor's degree + 4 years of relevant experience

Associate degree + 8 years of relevant experience

High School Diploma/GED + 10 years of relevant experience

Tools

Excel

Power BI

Smartsheet

JMP

Minitab

Job description

• Systems Engineering

Title: Senior Data Scientist

Location: Juncos, Puerto Rico (Only open to Puerto Rico Residents)

Work Schedule: Onsite | Administrative Shift

Contract: 6 months

Open Positions: 1

Position Summary

Our client is seeking a Senior Data Scientist to lead advanced analytics projects that support business decision-making and operational performance across the Puerto Rico Operations organization.

The selected candidate will collaborate with cross-functional teams, including Commercial Insights, Manufacturing, Supply Chain, Engineering, Data, Information Systems, Service Owners, and external vendors. This role will be responsible for the end-to-end execution of analytical projects, from identifying business needs and developing analytical approaches to building models, generating insights, and presenting actionable recommendations.

The ideal candidate combines strong data science capabilities with an understanding of manufacturing operations, process optimization, resource planning, capacity analysis, and regulated environments.

Key Responsibilities

• Lead advanced analytics, data science, machine learning, and AI-enabled projects from concept through implementation.
• Partner with cross-functional stakeholders to identify business needs and translate them into analytical solutions.
• Develop analytical methodologies, predictive models, prototypes, algorithms, and proof-of-concept solutions using Python and other appropriate technologies.
• Analyze complex operational and manufacturing datasets to identify trends, patterns, opportunities, and potential risks.
• Support resource planning, workload modeling, capacity evaluation, process optimization, and operational efficiency initiatives.
• Apply statistical methods to evaluate process variability, performance trends, capacity, and business outcomes.
• Work with SQL and other database query languages to extract, transform, and analyze data.
• Develop data visualizations, dashboards, and presentations that communicate analytical findings clearly to technical and business audiences.
• Use tools such as Excel, Power BI, Smartsheet, JMP, Minitab, or similar platforms to analyze and visualize data.
• Collaborate with business partners and technical teams to define requirements and develop practical, data-driven solutions.
• Independently manage projects with minimal supervision while maintaining clear communication on progress, risks, and results.
• Conduct structured business assessments, including SWOT analysis when appropriate, and recommend analytical approaches based on business objectives.
• Create clear and compelling presentations and data-driven stories using PowerPoint and Microsoft Office tools.
• Support data, validation, and documentation activities in accordance with applicable GMP, regulatory, security, privacy, and data integrity requirements.
• Participate in activities that may occasionally require support outside the standard administrative schedule.

Preferred Qualifications

Candidates with backgrounds in the following disciplines are preferred:

• Industrial Engineering
• Systems Engineering
• Computer Science
• Chemical Engineering
• Biomedical Engineering
• Biotechnology
• Manufacturing Engineering
• Data Science
• Statistics
• Mathematics
• Operations Research
• A related technical discipline

Technical & Analytical Skills

The ideal candidate should demonstrate experience or strong capability in several of the following areas:

Data Analytics & Visualization

• Collecting, organizing, cleaning, analyzing, and interpreting complex datasets.
• Developing meaningful visualizations, dashboards, and analytical reports.
• Experience with Excel, Power BI, Smartsheet, JMP, Minitab, or comparable tools.

Programming, Automation & AI

• Programming experience with Python, R, SAS, or Scala.
• Familiarity with AI-assisted coding tools, automation, scripting, Power Automate, or digital workflow development.
• Ability to develop well-structured, reusable code.
• Experience with machine learning libraries such as scikit-learn, MLlib, Keras, TensorFlow, or PyTorch.
• Ability to learn and apply new digital technologies to solve business problems.

Databases & Data Engineering

• Experience working with relational databases and SQL.
• Knowledge of database structures and other query technologies.
• Experience working with large datasets.
• Familiarity with distributed computing technologies such as Spark or Hive is preferred.
• Exposure to graph databases is a plus.

Statistics & Process Analysis

• Understanding of basic and applied statistics.
• Experience evaluating process variability, trends, performance, capacity, and data relationships.
• Ability to apply analytical methods to operational forecasting, process evaluation, and business decision-making.

GMP & Validation

• Knowledge of GMP requirements and regulated manufacturing environments.
• Experience with validation lifecycle activities, protocols, reports, and controlled documentation.
• Understanding of data integrity, discrepancy follow-up, and compliance-driven execution is preferred.
• Biotechnology or pharmaceutical industry experience is strongly preferred.

Education & Experience

One Of The Following Combinations Is Required

• Doctorate in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related field.
• Master's degree + 2 years of relevant experience.
• Bachelor's degree + 4 years of relevant experience.
• Associate degree + 8 years of relevant experience.
• High School Diploma/GED + 10 years of relevant experience.

Relevant experience may include data science, business analytics, statistics, data mining, applied mathematics, engineering, computer science, or related analytical disciplines.

Core Competencies

• Proven ability to lead projects and execute them from initiation through completion.
• Strong analytical, logical, problem-solving, and decision-making skills.
• Excellent organization and planning skills, with the ability to manage multiple complex datasets and priorities.
• Strong stakeholder management and cross-functional collaboration skills.
• Ability to influence business partners and technical teams to drive analytical initiatives forward.
• Excellent written and verbal communication skills.
• Ability to translate complex analytical findings into clear, precise, and actionable business recommendations.
• Detail-oriented approach with strong technical aptitude.
• Ability to work independently and take initiative with minimal supervision.
• Adaptability and willingness to learn emerging technologies and advanced analytics methodologies.
• Ability to work effectively in a highly regulated pharmaceutical or biotechnology environment.

Work Environment

• Onsite position in Juncos, Puerto Rico.
• Administrative shift.
• Flexibility to provide support outside the standard schedule may be required based on business and project needs.