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Data Scientist Online Jobs in Puerto Rico (NOW HIRING)

Data Scientist

San Juan, PR ยท On-site

$95K - $165K/yr

You can tell which questions need a rigorous answer and which need a good-enough answer by Thursday. * 3+ years in data science, analytics engineering, or quantitative analysis with real operational ...

Sr Data Scientist

Juncos, PR ยท On-site

$125 - $150/hr

The Senior Data Scientist leads advanced analytics initiatives and collaborates with crossโ€‘functional partners--including commercial insights, manufacturing, supply chain, engineering, data teams ...

Sr Data Scientist

Juncos, PR ยท On-site

$100 - $125/hr

The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners ...

Data Engineer

Carolina, PR ยท On-site

$60 - $80/hr

Syndeo's Data Science practice combines clinical and financial data into a single, automated view of the pathology business, a capability that sets our platform apart. We are looking for a Data ...

... 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 ...

Jr. Data Analyst

San Juan, PR ยท On-site

$60 - $80/hr

... and online correspondence with client etc. * Participating in meetings and conferences ... A Bachelor's degree in Engineering, Mathematics, Computer Science, Information Management, or ...

Data Engineer

San Juan, PR ยท On-site

$60 - $80/hr

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

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Data Scientist Online information

What is a data scientist online?

A Data Scientist Online job is a remote position where professionals analyze and interpret complex data to help businesses make informed decisions. They use programming languages like Python or R, machine learning techniques, and statistical analysis to extract insights. These roles often involve working with large datasets, building predictive models, and visualizing data trends. Since the job is online, communication and collaboration happen through digital tools, making strong remote work skills essential.

What are some typical daily responsibilities and collaboration methods for an online data scientist?

As an online Data Scientist, your daily responsibilities often include cleaning and analyzing datasets, building predictive models, and presenting findings to stakeholders through virtual meetings and interactive dashboards. Collaboration is typically facilitated through remote communication tools like Slack, Zoom, and cloud-based project platforms, allowing you to work seamlessly with team members across different locations and time zones. You may also participate in code reviews, contribute to shared repositories, and join agile stand-up meetings to ensure alignment on project goals. This structure enables flexible work while maintaining a high level of team coordination and project accountability.

What are the key skills and qualifications needed to thrive in the data scientist online position, and why are they important?

To thrive as a Data Scientist Online, you need a solid foundation in statistics, data analysis, and programming, typically supported by a degree in computer science, mathematics, or a related field. Experience with tools such as Python, R, SQL, and cloud-based data analytics platforms, as well as certifications like AWS Certified Data Analytics or Google Data Engineer, are highly valued. Strong communication, problem-solving, and self-motivation are crucial soft skills for remote collaboration and conveying complex insights to stakeholders. These abilities are essential for effectively driving data-driven decision-making while working independently in a virtual or distributed environment.

Can I become a data scientist online?

Yes, aspiring data scientists can pursue online education through degree programs, certifications, and courses in data analysis, machine learning, and programming languages like Python or R. Many online platforms also offer practical projects and tools to develop relevant skills for remote or flexible work environments.

Can I work remotely as a data scientist?

Data scientists often have the option to work remotely, especially when their role involves analyzing data, developing models, and using tools like Python, R, or SQL. Many companies offer remote positions for data scientists, provided they have strong communication skills and access to necessary data and computing resources.

What are the most commonly searched types of Data Scientist jobs in Puerto Rico?

The most popular types of Data Scientist jobs in Puerto Rico are:

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

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

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

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

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

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

Data Scientist

Vast

San Juan, PR โ€ข On-site

$95K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday


Job description

Description:

 Vast builds the operating and financial backbone for fast-growing, cash-intensive businesses, combining hands-on execution with purpose-built software, automation, and AI-enabled workflows. We provide technology-enabled shared services, financial infrastructure, and operational support to partners across the U.S. and Puerto Rico, with deep roots in route gaming and other multi-location businesses. We work execution-first, with accurate books, strong controls, and dependable processes, then build the automation and software that raise the standard for how the back office operates.


About the Role

One of the biggest partners we support is a video gaming terminal route across Illinois: machines in bars, restaurants, and truck stops, serviced by field technicians, collected by dedicated crews, supported by a call center, and run on a platform we build and maintain. Every piece of that operation throws off data, and far less of it gets used than should. This role exists to close that gap. Not by producing more charts, but by turning that data into finished work: dashboards that answer a real question, and worklists that tell a specific person what to do Monday morning.

This is not a reporting desk. If the job becomes "run this query for me," we built it wrong. It is not a research role either. Elegance is nice, but a route that runs two hours shorter is better. You will sit close to the operation and to the product and engineering teams building its platform, and your work ships into that live platform, not beside it, and the highest-value work here will be the things nobody thought to request.


What You'll Own

You will work across a deep, multi-year data estate: 250+ Illinois locations, machine and game-level performance, cash and service routing, technician dispatch, the project pipeline, call center volume, and public state reporting. Far more signal than currently gets used.

  • Finished analysis, not raw ingredients. A clear answer, the reasoning, and a recommendation someone can act on. Not a table dump.
  • Dashboards people open on purpose. Built into the system of record, in our design system, answering questions the regional directors, ops leads, and executives running the route already ask. If nobody opens it twice, it did not work.
  • Worklists, the part we care most about. Ranked, assignable lists: the specific machines, locations, or routes that need attention this week, in priority order, with the recommended move and the value of making it. Underperforming machines, wrong collection cadences, equipment to repair or replace, ground lost to nearby competition. A short list, ordered by impact, that an operator can work through.
  • Models where they earn their keep. Forecasting, route and schedule optimization, anomaly detection, siting and expected-performance models. Applied, not academic. We care about the decision it changes.

What Success Looks Like

  • First 30 days: You know the data model, the metrics, and where the bodies are buried in the data. You have been in the field at least once.
  • First 90 days: At least one dashboard and one worklist in real use, with an owner who relies on it.
  • First year: Decisions across game mix, routing, staffing, and project prioritization are measurably better because of work you initiated, including work nobody asked for.
Requirements:
  •  A self-starter with an appetite for data. The best version of this hire goes looking: pulls the state's public reporting because they wondered how the operation stacks up, notices a Tuesday-evening pattern nobody asked about and chases it down, shows up to the meeting with the artifact already built. If you need a fully specified ticket before you start, this will be frustrating for both of us.
  • Fluent in the business, not just the numbers. You will talk to regional directors, technicians, collectors, and the call center, then go to the data with a better question.
  • Comfortable in a fast environment where priorities move and data is not always clean. You can tell which questions need a rigorous answer and which need a good-enough answer by Thursday.
  • 3+ years in data science, analytics engineering, or quantitative analysis with real operational impact.
  • Advanced SQL: window functions, CTEs, query tuning, and the judgment to work confidently in messy production data without hand-holding.
  • Data modeling: you can design schemas, define grain, build fact and dimension structures, and turn transactional systems into analysis-ready models.
  • Data warehousing: standing up and maintaining a warehouse or analytical layer, including ETL/ELT pipelines, incremental loads, and data quality checks.
  • Data visualization with a real point of view on chart selection, encoding, and when a number in a box beats a chart entirely.
  • Dashboarding and UI/UX design: layout, hierarchy, filter design, progressive disclosure, and mobile legibility are part of the job, not polish added at the end.
  • Experience in a modern BI or analytics platform (Tableau, Power BI, Looker, Metabase, Superset, Sigma, Quicksight, or comparable). We care that you have shipped and maintained real reporting for real users, not which tool taught you that.
  • Python or R for analysis and modeling (pandas, scikit-learn, or equivalent).
  • Forecasting and time-series analysis: seasonality, day-of-week and hour-of-day demand patterns, and the judgment to know when a trend is signal and when it is noise.
  • Geospatial analysis: clustering, drive-time and distance modeling, coverage and territory analysis. Route or network optimization experience is a strong plus, since routing is core to how the operation runs.
  • Metric definition and stewardship: you can pin down what a metric means, defend the definition, and keep it from quietly forking into three versions across the business.
  • A track record of taking an ambiguous business question and returning a defensible, actionable answer, and explaining a model to someone who will never look at the code.

Highland Holdings and its portfolio companies are equal opportunity employers. We evaluate all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.


We offer a full suite of benefits, including medical, dental, vision, 401(k) matching, and more.