Senior Data Engineer Scientist

Kelly Science, Engineering, Technology & Telecom; Juncos (PR); On-site; USD 55,000 - 78,000; Full time

Benefits offered by this job

Bi-weekly pay

Sick days, vacations and holiday paid

Christmas Bonus

Job summary

Kelly Science, Engineering, Technology & Telecom seeks a Sr Data Engineer/Scientist to drive advanced analytics, ML, and AI initiatives across manufacturing and commercial operations. Location is onsite in Juncos, Puerto Rico, with relocation not covered.

This full-time role (8AM–5PM) emphasizes building data pipelines, dashboards, and scalable architectures. You will lead ML model design, collaborate with diverse teams, and ensure data governance in a regulated environment.

Qualifications

• Master’s degree with at least 2 years of experience OR Bachelor's with at least 4 years of related experience.
• Degree in Data Science, Statistics, Data Mining, Applied Mathematics, Engineering, Computer Science, Business Analytics, or related.
• Preferred: Software Engineering or Data Science/Analytics.
• Experience in data warehousing, data modeling & integration (ETL/ELT), and enterprise systems (SAP, MES).
• Experience with ML frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
• Bi-lingual in Spanish and English.

Responsibilities

• Lead end-to-end analytics and data science projects, delivering business impact through data-driven insights.
• Partner with cross-functional teams (commercial, manufacturing, engineering, supply chain, IS/IT) to solve complex business problems.
• Design and develop machine learning models, predictive analytics, and AI solutions using Python/R.
• Build and optimize data pipelines, data models, and scalable architectures (EDW, Databricks, SAP, MES).
• Work with large, complex datasets using SQL, Spark, Hive, and distributed computing tools.
• Perform business analysis (SWOT), solution design, and execution.
• Develop dashboards and reporting using Power BI or similar BI tools.
• Communicate results through clear storytelling, presentations, and data visualization.
• Ensure compliance with data governance, regulatory, security, and GDP standards.

Skills

Python

R

SQL

Power BI

Databricks

ML frameworks

EDW

ETL/ELT

SAP/MES

Bilingual

Education

Master's degree in Data Science or related field

Bachelor's degree in related field

Preferred: Software Engineering or Data Science/Analytics

Tools

SAP

MES

Job description

We’re seeking a Sr Data Engineer/ Scientist to work at a premier biotechnology industry leader. This role drives advanced analytics, machine learning, and AI initiatives across manufacturing and commercial operations.

Location: Juncos, Puerto Rico. This position requires onsite attendance in Puerto Rico. Applicants must reside in Puerto Rico or be able to independently relocate within one to two weeks. Relocation expenses will not be covered by the company.

Salary: $48.00 per hour

Shift: Administrative Full-Time (8AM–5PM, 24/7 support)

Requirements:

• Master’s degree with at least 2 years of experience OR Bachelor's with at least 4 years of related experience. Degree in Data Science, Statistics, Data Mining, Applied Mathematics, Engineering, Computer Science, Business Analytics, or related. Preferred: Software Engineering or Data Science/Analytics.
• Required experience: data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or related field experience
• Technical Skills: Programming: Python, R, SQL; Visualization: Power BI (or equivalent tools). Platforms: Databricks or similar analytics platforms
• Strong experience with: Data warehousing (EDW). Data modeling & integration (ETL/ELT), Enterprise systems (SAP, MES)
• Advanced Analytics & ML: Experience with machine learning frameworks: scikit-learn, TensorFlow, PyTorch, Keras. Strong understanding of: Predictive modeling, AI/ML lifecycle, Large-scale data processing
• Preferred Experience: Industry 4.0 technologies: IoT (Internet of Things), Digital Twins, Real-time analytics. Experience with: Large datasets & distributed computing (Spark, Hive), Cross-functional project leadership, Biotech, Pharma, Manufacturing, or regulated environments
• Fully Bilingual ( Spanish & English)

Responsibilities:

• Lead end-to-end analytics and data science projects, delivering business impact through data-driven insights.
• Partner with cross-functional teams (commercial, manufacturing, engineering, supply chain, IS/IT) to solve complex business problems.
• Design and develop machine learning models, predictive analytics, and AI solutions using Python/R.
• Build and optimize data pipelines, data models, and scalable architectures (EDW, Databricks, SAP, MES).
• Work with large, complex datasets using SQL, Spark, Hive, and distributed computing tools.
• Perform business analysis (SWOT), solution design, and execution.
• Develop dashboards and reporting using Power BI or similar BI tools.
• Communicate results through clear storytelling, presentations, and data visualization.
• Ensure compliance with data governance, regulatory, security, and GDP standards.

Kelly Engineering PR Offers!

• Exposure to a variety of career opportunities as a result of our expansive network of client companies.
• Career guides, information and tools to help you successfully position yourself throughout every stage of your career.
• Access to more than 3,000 online training courses through our Kelly Learning Center.
• Bi -weekly pay.
• Sick days, vacations and holiday paid*.
• Christmas Bonus*.

Among other benefits!

*Applies according to established minimum requirements