Data Scientist: Predictive Analytics & Self-Service Data

Luma Pr; Northern (KY); Hybrid; USD 65,000 - 90,000; Full time

Job summary

LUMA Energy seeks a Data Scientist in Santurce to develop analytical models, curated datasets, and semantic models for trusted reporting and self-service analytics. You will transform enterprise data into secure, governed, and actionable insights across operations, customer experience, and regulatory reporting.

The role includes building predictive analytics, onboarding new data sources, and collaborating with stakeholders to deliver data-driven solutions in a governance-focused environment.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, Business Analytics, or related field.
• 2–3 years of experience in business intelligence, analytics, data science, or related analytical functions.

Responsibilities

• Analyzes enterprise data to identify trends and actionable insights.
• Develops curated datasets, analytical data models, semantic models, and data products.
• Designs reports, dashboards, scorecards, and visualizations for various stakeholders.
• Builds predictive analytics, forecasting models, machine learning solutions, and advanced analytics capabilities.
• Collaborates with Data Owners, Data Stewards, and technology teams.

Skills

Data Analysis

SQL

Python

R

Power BI

Data Visualization

Stakeholder Collaboration

Education

Bachelor's degree in CS/IS/DS/Statistics/Math

5+ years experience in data analytics (substitutions allowed)

Tools

SQL Databases

Azure/AWS/GCP

Data Lakes/Warehouses

Git

Job description

LUMA Energy seeks a Data Scientist in Santurce to develop analytical models, curated datasets, and semantic models for trusted reporting and self-service analytics. You will transform enterprise data into secure, governed, and actionable insights across operations, customer experience, and regulatory reporting.

The role includes building predictive analytics, onboarding new data sources, and collaborating with stakeholders to deliver data-driven solutions in a governance-focused environment.