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Entry Level Data Scientist Jobs in Puerto Rico (NOW HIRING)

Consertus, Inc.

Junior Integration Developer

San Juan, PR · On-site

$65K - $85K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ... or entry-level experience acceptable) * Basic understanding of REST APIs and data integration ...

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Entry Level Data Scientist information

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
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What are popular job titles related to Entry Level Data Scientist jobs in Puerto Rico? For Entry Level Data Scientist jobs in Puerto Rico, the most frequently searched job titles are:
What cities in Puerto Rico are hiring for Entry Level Data Scientist jobs? Cities in Puerto Rico with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in Puerto Rico as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Junior Integration Developer

Consertus, Inc.

San Juan, PR • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

About Us:

Consertus is a global capital program management and advisory firm that combines deep human expertise with advanced digital tools to deliver smarter, faster, and more sustainable outcomes. Headquartered in Miami, Florida, and supported by a team of more than 1,000 professionals worldwide, we help clients plan, execute, and optimize large-scale capital programs.

Our integrated services span digital, advisory, and delivery, empowering organizations to navigate complexity, manage risk, and achieve strategic goals in sectors including aviation, transportation, transit, water, healthcare, energy, education, government, commercial, life sciences, and technology.

At Consertus, we celebrate individual strengths, foster strong relationships, and promote flexibility in how and where we work. Join us to grow your career, develop your skills, and make a lasting impact as we transform how the world is built.

Discover how Consertus is driving transformative change for our clients, our people, and the communities we serve atwww.consertus.com

About this Role:

We are seeking a Junior Integration Developer to join our growing technology team. In this role, you will support the development and maintenance of enterprise integrations and reporting solutions that connect key business systems.

You will work alongside experienced engineers to help build and maintain integrations, ETL pipelines, and reporting solutions that connect systems such as Salesforce, Workday, and Deltek Vantagepoint with our Google Cloud-based data environment. This role offers hands-on experience, mentorship, and opportunities to develop your technical skills in a collaborative, fast-paced environment.

You will work on custom integrations, ETL pipelines, and reporting frameworks that connect platforms like Salesforce, Workday, and Deltek Vantagepoint with our Google Cloud-based data warehouse.

Key Responsibilities:

  • Assist in developing and maintaining integration services between Salesforce, Workday, Deltek Vantagepoint, and other enterprise systems

  • Support the design, implementation, and monitoring of ETL workflows using tools such as Airflow, dbt, and Google Cloud services

  • Help build and maintain data ingestion pipelines using APIs and ODBC connections

  • Contribute to reporting and analytics solutions using Power BI and semantic data layers

  • Support deployment and basic management of applications on Google Cloud Run

  • Work closely with data engineering and analytics teams to support BigQuery and Cloud Storage environments

  • Assist with implementing logging, monitoring, and alerting to support application reliability

  • Follow established security, access management, and data governance best practices

  • Participate in code reviews, documentation, and team knowledge sharing

Qualifications/Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent practical experience)

  • Minimum of 1year of experience in software development, data integration, or a related technical role

  • Working knowledge of Python and SQL (internships, academic projects, or entry-level experience acceptable)

  • Basic understanding of REST APIs and data integration concepts

  • Exposure to cloud platforms (Google Cloud Platform preferred, but not required)

  • Familiarity with data or analytics tools such as BigQuery, Airflow, dbt, or similar is a plus

  • Basic experience with Git or other version control systems

  • Strong problem-solving skills and willingness to learn new technologies

  • Good communication skills and ability to collaborate within a team environment

Preferred Qualifications

  • Exposure to Salesforce, Workday, or Deltek Vantagepoint through coursework, internships, or projects

  • Familiarity with Power BI or other BI/reporting tools

  • Introductory experience with Docker or container-based development

  • Basic knowledge of cloud logging and monitoring concepts

  • Exposure to JavaScript or scripting languages

  • Interest in automation, AI-enabled tools, or workflow optimization

Additional Requirements / Skills / Working Hours / Compensation Range

  • Full time hybrid flexibility based on location based out of Mexico or Puerto Rico.

  • Salary Range: $50,000K annually depending on location and skills.

What's In It For You:

  • Medical, dental, and vision insurance for employees and their dependents

  • Retirement savings plan with company matching

  • Paid time off, including vacation, sick leave, and holidays

  • And others

How to Apply:

If you're passionate about Integration Systems we'd love to hear from you. Apply today!

Equal Employment Opportunity Statement:

Consertus is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and identities, and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, or any other protected status.

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