Data Scientist

Ethree; Puerto Rico; On-site; USD 60,000 - 80,000; Full time

Job summary

Ethree in San Juan, PR, is looking for an Entry-Level Data Scientist to transform raw data into actionable intelligence. This role focuses on statistical rigor to tackle business problems and utilizes Generative AI for insights that guide strategic directions. Responsibilities include data wrangling, statistical analysis using ML models, and creating visual dashboards. Candidates must have a Bachelor’s degree in a related field and skills in Python and BI visualization tools. Strong problem-solving abilities are essential.

Qualifications

• Bachelor's degree in Data Science, Mathematics, Statistics, or a related field.
• Foundational knowledge of probability, statistics, and machine learning theory.
• Ability to manipulate data using Python and familiarity with Vector Databases.

Responsibilities

• Source, clean, and validate complex datasets using GenAI.
• Apply statistical methods and ML models to solve business challenges.
• Design interactive dashboards to make data accessible.

Skills

Analytical Skills

Experience with BI visualization tools

Ability to manipulate data using Python

Strong problem-solving skills

Education

Bachelor’s degree in Data Science

Tools

Power BI

Tableau

SQL

Job description

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Data Scientist

San Juan, PR, PR

2 days ago Requisition ID: 1009

Job Title Data Scientist

Division AI Lab

Reports to AI Director

Job Mission

The Entry-Level Data Scientist transforms raw data into actionable intelligence. This role applies statistical rigor to business problems and utilizes Generative AI to identify patterns and generate insights that guide the organization's strategic direction. To analyze complex datasets and build analytical models that generate actionable insights, directly supporting organizational decision‑making processes.

Key Responsibilities

• Data Wrangling: Source, clean, and validate complex datasets; utilize GenAI for synthetic data generation or data augmentation.
• Statistical Analysis: Apply statistical methods and ML models (linear regression, K-means) alongside LLM‑based text analysis to solve business challenges.
• Data Visualization: Design interactive dashboards (Power BI, Tableau) to make data and GenAI outputs accessible to non‑technical users.
• Insight Generation: Interpret complex model outputs and LLM‑generated summaries to provide narrative‑driven insights for stakeholders.
• Continuous Research: Stay current with the latest analytical techniques and Generative AI research to keep the team's toolkit modern.

Qualifications

• Education: Bachelor’s degree in Data Science, Mathematics, Statistics, or a related field.

Requirements

• Analytical Skills: Foundational knowledge of probability, statistics and machine learning theory.
• Visualization: Experience with BI visualization tools.
• Coding & Tools: Ability to manipulate data using Python and familiarity with Vector Databases and SQL.
• Communication: Strong problem‑solving skills and the ability to explain “the why” behind the numbers to diverse audiences.