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Senior Research Data Scientist Jobs in Puerto Rico

ECHO Consulting Group

Sr Data Scientist

Juncos, PR · On-site

$100 - $125/hr

Skills: * Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research * Experience leading the projects and in executions of the projects end to end

Vast

Data Scientist

San Juan, PR · On-site

$95K - $165K/yr

It is not a research role either. Elegance is nice, but a route that runs two hours shorter is ... data science, analytics engineering, or quantitative analysis with real operational impact.

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Senior Research Data Scientist information

What does a senior research data scientist do?

A Senior Research Data Scientist leads advanced data analysis projects, often focusing on developing new algorithms, statistical models, or machine learning techniques to solve complex problems. They work closely with cross-functional teams, design experiments, and interpret large datasets to generate actionable insights. Their responsibilities also include mentoring junior team members, publishing research findings, and staying updated on the latest trends in data science and technology.

How does a senior research data scientist typically collaborate with cross-functional teams on research projects?

As a Senior Research Data Scientist, you will frequently work alongside professionals from diverse backgrounds, such as software engineers, domain experts, and product managers. Collaboration often involves translating complex data findings into actionable insights for stakeholders, co-developing research methodologies, and ensuring data-driven solutions align with business objectives. Strong communication skills are crucial, as you'll be expected to present your results clearly and guide teams in implementing analytical models. Such cross-functional collaboration not only enhances project outcomes but also provides opportunities for professional growth and exposure to various aspects of the organization.

What are the key skills and qualifications needed to thrive as a senior research data scientist, and why are they important?

To thrive as a Senior Research Data Scientist, you need advanced expertise in statistics, machine learning, programming (often Python or R), and a strong academic background such as a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), cloud computing, and tools such as TensorFlow or scikit-learn is typically required, along with experience publishing research or patents. Exceptional problem-solving, communication, and leadership skills help you drive projects and collaborate across multidisciplinary teams. These competencies are critical for extracting actionable insights from complex data, advancing innovative solutions, and leading impactful research initiatives.

What is the difference between Senior Research Data Scientist vs Data Scientist?

AspectSenior Research Data ScientistData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or Master's, industry-focused skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, startups
Employer & Industry UsageResearch institutions, universities, corporate R&DTech, finance, healthcare, retail

Senior Research Data Scientists typically hold advanced degrees and focus on research and development, often working in academic or corporate R&D settings. Data Scientists usually have a bachelor's or master's degree and work directly on data analysis, modeling, and business insights in industry environments. The roles overlap in data analysis skills but differ in focus and work environment.

What are popular job titles related to Senior Research Data Scientist jobs in Puerto Rico?

For Senior Research Data Scientist jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Senior Research Data Scientist jobs in Puerto Rico look for?

The top searched job categories for Senior Research Data Scientist jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Senior Research Data Scientist jobs?

Cities in Puerto Rico with the most Senior Research Data Scientist job openings:

Senior Research Data Scientist jobs near you
Infographic showing various Senior Research Data Scientist job openings in Puerto Rico as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Sr Data Scientist

BioPharma Consulting JAD Group

Juncos, PR • On-site

$125 - $150/hr

Other

Re-posted 24 days ago

Job description

The Senior Data Scientist leads advanced analytics initiatives and collaborates with cross‑functional partners—including commercial insights, manufacturing, supply chain, engineering, data teams, external vendors, service owners, and information systems—to develop analytical models and insights that solve complex business problems. This role drives end‑to‑end execution of data science projects, builds high‑impact analytical solutions, and delivers measurable business value through machine learning, artificial intelligence, and statistical modeling.

KEY RESPONSIBILITIES
  • Lead, design, and develop data science, machine learning, and AI capabilities across the organization.
  • Build high‑performance algorithms, prototypes, predictive models, and proof‑of‑concepts using Python and modern ML libraries.
  • Work with SQL and other database query languages to extract, transform, and analyze large datasets.
  • Apply statistical and analytical techniques to evaluate process variability, performance trends, capacity, and operational efficiency.
  • Lead cross‑functional analytics projects from concept to deployment with minimal supervision.
  • Identify business needs, conduct SWOT analyses, propose analytical approaches, obtain stakeholder alignment, and execute solutions end‑to‑end.
  • Manage multiple complex datasets, ensuring accuracy, consistency, and data integrity.
  • Ensure compliance with regulatory, security, and privacy requirements related to data assets.
  • Partner with manufacturing, supply chain, engineering, validation, quality, and digital/IS teams to develop methodologies that address specific business questions.
  • Gather user requirements, translate business needs into analytical or digital tool specifications, and communicate findings clearly to technical and non‑technical stakeholders.
  • Collaborate with external vendors and digital partners to support model development, automation, and system integration.
  • Present analytical concepts, project progress, and results in a clear, compelling, and actionable manner.
  • Create strong data‑driven narratives using PowerPoint, Excel, Power BI, Smartsheet, or similar visualization tools.
  • Develop dashboards, reports, and visualizations to support decision‑making across operations.
  • Support characterization, validation, and GMP‑related data evaluation activities.
  • Apply statistical thinking to workload forecasting, resource planning, capacity modeling, and operational optimization.
  • Support documentation practices, protocol/report development, discrepancy follow‑up, and compliance‑driven execution.
CORE COMPETENCIES & SKILLS
  • Strong foundation in data science, machine learning, and AI methodologies.
  • Proficiency in Python, R, SAS, and ML libraries (scikit‑learn, TensorFlow, Keras, PyTorch, etc.).
  • Experience with relational, SQL, and graph databases.
  • Ability to write clean, reusable, well‑abstracted code; comfortable working in Linux environments.
  • Experience with distributed computing tools (Spark, Hive, etc.).
  • Excellent analytical, logical reasoning, and problem‑solving skills.
  • Strong organizational and planning skills; ability to manage large datasets and multiple projects.
  • Excellent communication skills with the ability to translate complex analysis into actionable insights.
  • Passion for continuous learning and staying current with advanced analytics trends.
  • Experience in biotech/pharma or regulated environments is a plus.
EDUCATION REQUIREMENTS

One of the following is required:

  • Doctorate, OR
  • Master’s degree + 2 years of relevant experience, OR
  • Bachelor’s degree + 4 years of relevant experience, OR
  • Associate degree + 8 years of relevant experience, OR
  • High school/GED + 10 years of relevant experience.

Relevant fields include: Data Science, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or related technical disciplines.

PREFERRED QUALIFICATIONS
  • Strong data analytics and visualization skills using Excel, Power BI, Smartsheet, JMP, Minitab, or similar tools.
  • Ability to collect, clean, organize, analyze, and interpret complex operational or manufacturing datasets.
  • Experience with automation or digital tools (Python scripting, AI‑assisted coding, Power Automate, workflow development).
  • Understanding of basic statistics, process variability, trending, capacity evaluation, and performance monitoring.
  • Experience supporting characterization, validation, or GMP‑related data evaluation.
  • Familiarity with validation lifecycle activities, protocol/report development, documentation practices, data integrity, and compliance expectations.
  • Strong stakeholder engagement skills; ability to gather requirements and communicate findings clearly to management and technical teams.
  • Ability to work across manufacturing, engineering, quality, supply chain, and digital functions.
  • 6- month contract with possible extension
  • Administrative Shift
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