Note: The job is a remote job and is open to candidates in USA. LUMA Energy is a company focused on delivering innovative energy solutions. They are seeking a Data Scientist to develop analytical models and predictive analytics solutions that enhance data-driven decision-making across the organization.

Responsibilities

• Analyzes enterprise data to identify trends, patterns, opportunities, and actionable insights that support business decision-making
• Develops curated datasets, analytical data models, semantic models, and data products to enable trusted reporting and self-service analytics
• Designs reports, dashboards, scorecards, and visualizations to support operational, regulatory, executive, and customer experience reporting
• Builds predictive analytics, forecasting models, machine learning solutions, and advanced analytics capabilities to improve business performance
• Supports onboarding of new data sources into enterprise analytics platforms to expand available data for reporting and analysis
• Documents business rules, metadata, transformations, calculations, and data lineage to support governance, transparency, and auditability
• Validates data quality through reconciliation, monitoring, and issue resolution to improve accuracy and confidence in enterprise reporting assets
• Collaborate with business stakeholders, Data Owners, Data Stewards, and technology teams to deliver analytical solutions aligned with business objectives
• Follows established company policies, procedures, and standards to ensure full compliance with applicable laws and industry regulations
• Participates in storm restoration tasks and assigned drills to contribute to the safe and reliable recovery of services
• Performs additional tasks aligned with role expectations and qualifications to support team goals and operational flexibility

Skills

• Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, Business Analytics, or related field
• 2 to 3 years of experience in business intelligence, analytics, data science, or related analytical functions, including developing reports, dashboards, data models, and analytical solutions
• Additional experience may substitute for required education when aligned with the competencies and knowledge necessary for the role
• An associate's degree in a relevant field may substitute when accompanied by at least 5 years of experience performing similar functions and a minimum of 3 years in a previous related role
• A high school diploma or equivalent (GED) may substitute when accompanied by at least 8 years of experience performing similar functions and a minimum of 5 years in a previous related role
• Data Analysis and Data Exploration
• SQL and Relational Database Concepts
• Power BI Development and Visualization
• Data Modeling and Dimensional Modeling
• Semantic Models and Analytical Data Products
• Data Quality, Validation, and Reconciliation
• Statistical Analysis and Predictive Analytics
• Machine Learning and Artificial Intelligence Concepts
• Data Governance, Metadata, and Data Lineage Practices
• Data Security and Access Control Principles
• Business Process Analysis
• Analytical Problem Solving
• Data Storytelling and Visualization
• Strong Written and Verbal Communication Skills
• Stakeholder Collaboration and Relationship Management
• Continuous Improvement and Innovation Mindset
• Preferred experience working with Python or R, machine learning, cloud data platforms, data lakes or warehouses, and documenting business rules and metadata
• Bilingual proficiency in English and Spanish preferred

Company Overview