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Entry Level Data Science Jobs in Bayamon, PR (NOW HIRING)

Junior Integration Developer

San Juan, PR

$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 ...

Junior Integration Developer

Guaynabo, PR

$67K - $87K/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 ...

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/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 ...

Entry Level Data Science information

See Bayamon, PR salary details

$9

$17

$24

How much do entry level data science jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for entry level data science in Bayamon, PR is $17.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $19.28 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What job categories do people searching Entry Level Data Science jobs in Bayamon, PR look for? The top searched job categories for Entry Level Data Science jobs in Bayamon, PR are:
What cities near Bayamon, PR are hiring for Entry Level Data Science jobs? Cities near Bayamon, PR with the most Entry Level Data Science job openings:

Junior Integration Developer

Consertus, Inc.

San Juan, PR

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 hours 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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