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Junior Data Scientist Jobs in Puerto Rico (NOW HIRING)

PR · 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 ...

New

PR · On-site

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... Jr. Data Analyst to join our consulting team and support the delivery of high-impact services ...

## Lead Data & Analytics Scientist ITSolicitarlocations: Santurce - Lucchettitime type: Full timeposted on: Publicado ayertime left to apply: Fecha final: 24 de julio de 2026 (Quedan 5 días para ...

New

## Lead Data & Analytics Scientist ITSolicitarlocations: Santurce - Lucchettitime type: Full timeposted on: Publicado ayertime left to apply: Fecha final: 24 de julio de 2026 (Quedan 5 días para ...

New

PR · On-site

Evaluate process data, identify risks or gaps, and implement scientifically sound solutions ... Provide technical mentorship and scientific guidance to junior team members and cross-functional ...

PR · On-site

$45K - $55K/yr

Bachelor's degree in Data Science , Statistics , Economics , Computer Science , or related field. * Equivalent experience or certifications (Google Data Analytics, etc.) will be considered. Why Join ...

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

PR · On-site

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

PR · On-site

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

PR · On-site

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

PR · On-site

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

PR · On-site

... activities, data collection, and data logging. * Perform field verification of systems and ... Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ...

New

PR · On-site

Bachelor of Science in Mechanical, Chemical, Electrical, Industrial Engineering, or a related ... Besides being a Jr. Project Manager, you're able to analyze data so that not a single inconsistency ...

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Showing results 1-20

Junior Data Scientist information

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

What skills and qualifications are needed to thrive as a junior data scientist?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects does a junior data scientist typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What is a junior data scientist?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.
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 job categories do people searching Junior Data Scientist jobs in Puerto Rico look for? The top searched job categories for Junior Data Scientist jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Junior Data Scientist jobs? Cities in Puerto Rico with the most Junior Data Scientist job openings:
Infographic showing various Junior Data Scientist job openings in Puerto Rico as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 3% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist

Vast

PR • On-site

$95K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


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.