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Temporary Data Scientist Machine Learning Jobs in Puerto Rico

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets ...

Sr Data Scientist

Juncos, PR ยท On-site

$110 - $160/hr

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets ...

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets ...

FUNCTIONS 1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization. 2. Leading the projects and be part of cross ...

New

Data Scientist

Juncos, PR ยท On-site

$90 - $120/hr

Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization. * Leading the projects and be part of cross functional teams ...

Posted today

Leading, using and developing data science, machine learning, and artificial intelligence capabilities across Amgens commercial organization. * Leading the projects and be part of cross functional ...

Sr Data Scientist 35618

Juncos, PR ยท On-site

$90 - $130/hr

Functions * Leading, using and developing data science, machine learning, and artificial intelligence capabilities across commercial organization. * Leading the projects and be part of cross ...

New

Leading, using and developing data science, machine learning, and artificial intelligence capabilities across commercial organization. Leading the projects and be part of cross functional teams on ...

PR

$48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role drives advanced analytics, machine learning, and AI initiatives across manufacturing and ... Degree on Data Science, Statistics, Data Mining, Applied Mathematics, Engineering, Computer Science ...

New

Sr Data Scientist

Juncos, PR ยท On-site

$110 - $150/hr

The candidate does not need to be an expert programmer but should be comfortable learning and ... Doctorate or Masters + 2 years of data science, business, statistics, data mining, applied ...

PR ยท On-site

$95K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Underperforming machines, wrong collection cadences, equipment to repair or replace, ground lost to ... data science, analytics engineering, or quantitative analysis with real operational impact.

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Temporary Data Scientist Machine Learning information

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Puerto Rico?

For Temporary Data Scientist Machine Learning jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Puerto Rico look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Temporary Data Scientist Machine Learning jobs?

Cities in Puerto Rico with the most Temporary Data Scientist Machine Learning job openings:

Infographic showing various Temporary Data Scientist Machine Learning job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr Data Scientist

Weil Group, Inc

Juncos, PR โ€ข On-site

Full-time

Re-posted 7 days ago


Job description

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets and strategic business decisions, owning the end-to-end data modeling lifecycle while mentoring junior colleagues and collaborating with key stakeholders.
SUMMARY

The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.
FUNCTIONS
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across Client commercial organization
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen.
3. Taking the initiative and work independently with minimal supervision
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
6. Working with SQL and other DB query languages
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
EDUCATION
-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
COMPETENCIES/SKILLS
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience

**Weil Group is proud to be an Equal Employment Opportunity Employer.*