ZipRecruiter

Log In

2

Remote Data Scientist Intern Jobs in Puerto Rico

Julius 2 Grow

Work Type: Full-time, permanent Location: 100% Remote Reporting Line: International teams in the US ... Collaborate cross-functionally with data science, technology, media, strategy, and client-facing ...

Infotech Sourcing

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... or data scientists Experience contributing to research papers Important: Preferably no known ...

Cognizant Technology Solutions

Experience in pharmaceutical or life sciences manufacturing (GxP awareness, batch process ... Familiarity with SIMCA-Online or similar multivariate data analysis (MVDA) platforms

Danaher

Field Application Specialist

Caguas, PR · On-site +1

... remote role . In this role, you will have the opportunity to: - Providing technical and scientific ... high dimensional data (like tSNE, CITRUS, FlowSOM, Parade and other) will be beneficial ...

Jj

Global MT SC ERP Quality Manager

Guaynabo, PR · On-site +1

... remote work. Caring for the world, one person at a time has inspired and united the people of ... We embrace research and science -- bringing innovative ideas, products, and services to advance the ...

All JobsRemote Data Scientist Intern JobsRemote Data Scientist Intern Jobs in Puerto Rico

Remote Data Scientist Intern information

What is a Remote Data Scientist Intern job?

A Remote Data Scientist Intern is a temporary, entry-level role where you assist in data analysis, machine learning, and statistical modeling while working remotely. You’ll clean and process data, build predictive models, and generate insights to support business decisions. Interns typically use programming languages like Python or R, along with tools like SQL and cloud platforms. This role provides hands-on experience in data science while offering flexibility to work from anywhere.

What types of projects or tasks can I expect as a Remote Data Scientist Intern?

As a Remote Data Scientist Intern, you can typically expect to work on real-world data analysis projects, such as cleaning and organizing datasets, building predictive models, and creating visualizations to support business decisions. You may also assist with research, exploratory data analysis, and automating routine data processing tasks using programming tools. Collaboration is usually done through virtual meetings, code repositories, and project management platforms, where you'll interact with data scientists, engineers, and business stakeholders. This hands-on experience helps build both your technical and communication skills within a remote, team-oriented environment.

What are the key skills and qualifications needed to thrive in the Remote Data Scientist Intern position, and why are they important?

To thrive as a Remote Data Scientist Intern, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often gained through coursework or relevant projects. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), version control systems like Git, and data visualization tools such as Tableau or matplotlib is highly valued. Strong communication, self-motivation, and time management are essential soft skills, especially when working remotely. These skills help interns efficiently analyze data, contribute to team projects, and adapt to the collaborative, fast-paced nature of remote data science work.

What are popular job titles related to Remote Data Scientist Intern jobs in Puerto Rico? For Remote Data Scientist Intern jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Intern jobs in Puerto Rico look for? The top searched job categories for Remote Data Scientist Intern jobs in Puerto Rico are:
Remote Data Scientist Intern jobs near you

Data Analyst Pharmaceutical Industry

Julius 2 Grow

Remote

Full-time

Posted 15 days ago

Job description

Work Type: Full-time, permanent
Location: 100% Remote
Reporting Line: International teams in the US and Europe
Language Requirement: Advanced English (must-have)
Time Zone Preference: US East Coast

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a critical technical function by connecting healthcare data with media and marketing insights to drive clear, actionable business outcomes.

The ideal candidate is comfortable working with complex and imperfect data, applies strong statistical reasoning, and can translate sophisticated analyses into compelling insights for both technical and non-technical stakeholders. This is a fully remote role, collaborating closely with cross-functional teams across the US and Europe.

Key Responsibilities

  • Perform advanced SQL-based data transformations, integrating multiple internal and external data sources (e.g., claims, media, CRM, EHR-derived datasets).

  • Define, validate, and govern metrics aligned with pharmaceutical business needs (e.g., brand performance, HCP engagement, patient journeys).

  • Apply statistical analysis to identify trends, key drivers, and ensure analytical rigor in recommendations.

  • Maintain and evolve analytical datasets and workflows as new data is ingested.

  • Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.

  • Translate analytical findings into clear, actionable insights tailored to stakeholders across marketing, analytics, strategy, and leadership teams.

  • Manually clean, normalize, and structure data to ensure quality and analytical readiness for deep-dive analyses.

  • Prepare datasets to support advanced analytics, including exploratory and explanatory AI/ML applications.

  • Develop dashboards and data visualizations that clearly communicate insights and support decision-making.

  • Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams.

  • Document methodologies, assumptions, and data limitations to ensure transparency and reproducibility.

Required Qualifications

  • Bachelors degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.

  • 24 years of experience defining and validating metrics within the pharmaceutical, healthcare, or life sciences industry.

  • Strong SQL proficiency, including complex joins, transformations, and performance optimization.

  • Experience working with cloud data warehouses (e.g., BigQuery).

  • Solid foundation in statistics and analytical reasoning (trend analysis, hypothesis testing, segmentation).

  • Proven experience with exploratory data analysis and large, complex datasets.

  • Ability to simplify complex data and insights for diverse audiences.

  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).

  • Strong collaboration skills and experience working with cross-functional teams.

  • Advanced English communication skills (required).

Preferred Qualifications

  • Experience with pharmaceutical commercial or media data (claims, prescriptions, CRM, hub, or media datasets).

  • Familiarity with AI/ML concepts and data preparation for modeling.

  • Experience using Python or R for analytics and data manipulation.

  • Understanding of pharma compliance, privacy, and data governance.

  • Previous experience working remotely with distributed, international teams across multiple time zones.

Key Competencies

  • Strong analytical rigor and attention to detail

  • Business-oriented problem-solving mindset

  • Clear, concise communication skills

  • Comfort working with ambiguity and imperfect data

  • Curiosity and continuous learning mentality

  • Team-oriented and collaborative approach