Data Scientist

Job Summary:

Develops analytical models, curated datasets, semantic models, dashboards, and predictive analytics solutions that enable trusted data-driven decision-making across the organization. This position transforms enterprise data into secure, governed, and actionable insights that improve operational performance, customer experience, regulatory reporting, and business outcomes.

Job Description:

• 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.

Additional Job Description:

Education

• Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, Business Analytics, or related field.

Experience

• 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. Preferred experience working with Python or R, machine learning, cloud data platforms, data lakes or warehouses, and documenting business rules and metadata.

• 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.

Competencies (Skills)

• 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.

• Bilingual proficiency in English and Spanish preferred.

Licenses/Certifications

• No required licenses or certifications.

Travel Requirements

• Seldom (approximately 10%).

Physical Demands

• Stationary Position: Frequently

• Pushing/ Pulling/ Reaching: Seldom

• Kneel: Seldom

• Grab: Seldom

• Bend: Seldom

• Lift/Carry over: 10 - 30 LBS approximately

• Vision: 20/20 Corrected vision

• Hearing: Receive detailed information if spoken to

Working Conditions

• Wet or humid: Seldom

• Working near or on moving mechanical parts: Seldom

• Working near or on heavy machinery: Never

• Working in high places: Seldom

• Exposed to fumes or airborne particles: Seldom

• Frequency of working in outdoor weather conditions: Never

• Work with electricity: Never

• Loud noise conditions: Seldom

LUMA Energy is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, military status, disability, or any other characteristic protected by federal or local laws.