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Online Data Science Jobs in Puerto Rico (NOW HIRING)

Inteldot has over 15 years in the life science industry with allocations across Puerto Rico, the ... The Data Scientist will lead projects and collaborate with business partners including commercial ...

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

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 · On-site

$45K - $55K/yr

Our platform PDFSimpli.com is one of the top-ranked document editing tools online, helping millions ... Bachelor's degree in Data Science , Statistics , Economics , Computer Science , or related field.

Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams. * Document methodologies, assumptions, and data limitations to ensure transparency and ...

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102K - $122K/yr

You'll collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services. You'll bridge the gap between data engineering and advanced AI-driven applications. You ...

Cloud Data Engineer

San Juan, PR · Hybrid

$112K - $134K/yr

You'll collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services. You'll bridge the gap between data engineering and advanced AI-driven applications. You ...

PR

$59K - $60K/yr

Computer Science / Information Systems * Life Sciences (Biology, Chemistry, Microbiology) * 0-2 ... Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word ...

PR

$57K - $58K/yr

Computer Science / Information Systems * Life Sciences (Biology, Chemistry, Microbiology) * 0-2 ... Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word ...

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... and online correspondence with client etc. * Participating in meetings and conferences ...

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... and online correspondence with client etc. * Participating in meetings and conferences ...

PR · On-site

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... and online correspondence with client etc. * Participating in meetings and conferences ...

Data Engineer

San Juan, PR · On-site

$110K - $133K/yr

Required : • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field. • 1-3 years of experience in Data Engineering ...

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Online Data Science information

What are the key skills and qualifications needed to thrive as an Online Data Scientist, and why are they important?

To thrive as an Online Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Proficiency with data manipulation tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and cloud platforms (like AWS or Google Cloud) is commonly required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for this remote role. These competencies enable you to extract actionable insights from data, collaborate with diverse teams, and drive data-informed decision-making in a virtual environment.

What is online data science?

Online data science refers to the practice of analyzing and interpreting large sets of data using statistical techniques and computational tools, often through remote or web-based platforms. Professionals in this field use programming, machine learning, and data visualization to extract insights and inform decision-making, all while working online or in virtual environments. This approach allows for flexible collaboration, access to global data sources, and scalable solutions for businesses and organizations.

How do online data science professionals typically collaborate with cross-functional teams in a remote environment?

Online data science professionals often work closely with engineers, product managers, and business analysts through digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and shared documentation help ensure alignment on project goals, data requirements, and timelines. Effective communication is essential for translating complex data insights into actionable recommendations for non-technical stakeholders. Building strong relationships across teams is key to successfully integrating data science solutions into broader organizational strategies.
What are the most commonly searched types of Data Science jobs in Puerto Rico? The most popular types of Data Science jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Online Data Science jobs? Cities in Puerto Rico with the most Online Data Science job openings:

Sr Data Scientist 35431

Inteldot

Juncos, PR • On-site

Full-time

Posted 20 days ago


Job description

Inteldot has over 15 years in the life science industry with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.
Administrative Shift
Description:
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.
Requirements
  1. Software Engineering or BA Data Science/Analytics
  2. Proficiency in Python, R, SQL, Power BI, Databricks, or similar analytics and visualization platforms.
  3. Familiarity with enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions (e.g., EDW, Databricks, SAP, MES, or equivalent platforms).
  4. Exposure to Industry 4.0 technologies (IoT, digital twins, real-time analytics)

Functions:
  • 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 projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
  • Taking the initiative and work independently with minimal supervision.
  • Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
  • Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python.
  • Working with SQL and other DB query languages.
  • Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
  • Presenting analysis ideas, progress and results to business partners in clear and impactful manner.
  • Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint.
  • 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