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Senior Research Data Scientist Jobs in Puerto Rico

Inteldot

Process Development Sr Scientist ID 35535

Juncos, PR · On-site

$89K - $121K/yr

Provides data analysis and interpretation and assesses the impact of the data on the project. Keeps ... May represent the department on project teams under the supervision of a senior scientific staff ...

Liberty Latin America Communications, Inc.

PR · On-site

$117K - $117K/yr

As a Senior People Business Advisor you will provide professional people support to assigned ... Supports collective bargaining activities, including research, data gathering, preparation of ...

Deloitte

Clinical Data AMS Sr. Consultant

San Juan, PR · On-site

... R&D platforms - including Axway Secure Transport (ST), eClinical Elluminate, Eclipse (medical ... science operations. This role owns the health, stability, and compliance posture of a suite of ...

Diverse-Lynx

Senior AI Engineer

Aguadilla, PR · On-site

$60 - $80/hr

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field Nice to Have ... Exposure to knowledge graphs, scientific/R&D workflows, or enterprise automation Diverse Lynx LLC ...

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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.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

San Juan, PR • On-site

$125K/yr

Full-time

Posted 11 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 856 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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