Data Scientist

HOLT Group • Irving, TX

6d • Onsite

About The Position

The Data Scientist designs, develops, and implements advanced analytics, artificial intelligence (AI), and machine learning solutions that improve business decision-making and operational performance. The Data Scientist partners with business stakeholders, Business Intelligence professionals, and Data Engineering teams to translate business requirements into scalable analytical solutions. The role develops and maintains data assets, advanced analytical models, AI solutions, and supporting data transformations while establishing technical standards and best practices for analytics and AI development. The incumbent in this position is expected to model the following practices on a daily basis: Demonstrate alignment with the company's mission and core business values; Collaborate with key internal/external resources; Participate in ongoing self-development.

Requirements

• Minimum of 2 years of experience in data science, advanced analytics, business intelligence, data modeling, or related disciplines required
• Bachelor's Degree required; BA/BS in Data Science, Computer Science, Statistics, Mathematics, Analytics, Information Systems, Business, or a related discipline preferred
• Master's degree in Data Science, Analytics, Statistics, Computer Science, Artificial Intelligence, or a related discipline preferred
• Demonstrated experience developing statistical, machine learning, or artificial intelligence solutions required
• Experience designing enterprise semantic models, dimensional models, or analytical data models required
• Experience with Microsoft Fabric, Power BI, or comparable modern cloud analytics platforms strongly preferred
• Experience with SQL and Python required
• Experience with Git-based source control, CI/CD, and modern development practices preferred
• Advanced knowledge of data science, statistical analysis, machine learning, artificial intelligence, and advanced analytical methods
• Strong knowledge of Microsoft Fabric architecture and development, including semantic models, notebooks, and related analytical capabilities
• Advanced proficiency with SQL and Python for data transformation, analysis, modeling, and solution development
• Strong knowledge of Power BI semantic models and DAX, including model performance optimization and reusable measure design
• Working knowledge of generative AI, large language model concepts, conversational analytics, and enterprise AI solution patterns
• Experience with Git-based source control, Azure DevOps, pull requests, CI/CD, testing, and deployment practices
• Knowledge of data governance, lineage, metadata management, documentation, data quality, and analytical security concepts including row-level and object-level security
• Ability to identify complex problems, evaluate alternatives, and design scalable analytical and technical solutions
• Excellent verbal, written, communication, presentation, interpersonal, and customer service skills. With the ability to communicate complex technical and analytical concepts to both technical and non-technical audiences
• Ability to work independently and collaboratively across Business Intelligence, Data Engineering, IT, leadership, and business teams
• Ability to manage multiple projects and priorities while maintaining technical quality and documentation standards
• Ability to train, mentor, and establish technical best practices for others

Nice To Haves

• BA/BS in Data Science, Computer Science, Statistics, Mathematics, Analytics, Information Systems, Business, or a related discipline preferred
• Master's degree in Data Science, Analytics, Statistics, Computer Science, Artificial Intelligence, or a related discipline preferred
• Experience with Microsoft Fabric, Power BI, or comparable modern cloud analytics platforms strongly preferred
• Experience with Git-based source control, CI/CD, and modern development practices preferred

Responsibilities

• Models, promotes, reinforces, and rewards the consistent use of HOLT’s Values Based Leadership (VBL) tools, models, and processes to ensure alignment with our Vision, Values, and Mission
• Collaborates with leadership and business units to identify high-value opportunities for advanced analytics, artificial intelligence, machine learning, and governed semantic solutions
• Designs, develops, evaluates, deploys, and monitors statistical, predictive, prescriptive, machine learning, and artificial intelligence solutions that address business opportunities and operational challenges
• Develops AI solutions using structured and unstructured enterprise data and evaluates emerging AI technologies for responsible integration into business processes and analytical products
• Establishes standards and best practices for AI development, evaluation, documentation, deployment, monitoring, explainability, and responsible use
• Designs, develops, deploys, and maintains enterprise semantic models within Microsoft Fabric
• Transforms governed Gold-layer data into analytics-ready semantic models by defining dimensional structures, relationships, measures, calculations, hierarchies, metadata, and business context
• Partners with Data Engineering teams to define and validate Gold-layer requirements necessary to support semantic models and downstream analytical solutions
• Ensures semantic models provide consistent business definitions, calculations, and context across Power BI, Microsoft Fabric, AI solutions, and other downstream consumers
• Optimizes semantic models for performance, scalability, usability, security, and maintainability
• Implements modern development lifecycle practices for semantic models and analytical solutions, including Git-based source control, versioning, testing, peer review, CI/CD, and deployment across development, test, and production environments
• Partners with Business Intelligence professionals to ensure semantic models and analytical solutions effectively support enterprise reporting, self-service analytics, AI applications, and business decision-making
• Extracts, analyzes, identifies, and assesses qualitative and quantitative patterns, trends, anomalies, and relationships from large and complex data sets
• Prepares technical documentation and communicates analytical findings, model behavior, data requirements, and solution design to technical and business audiences
• Provides training and support and serves as a technical expert for semantic modeling, advanced analytics, and AI throughout the organization
• Maintains professional and technical knowledge by attending events, webinars, and educational opportunities
• Works safely at all times and adheres to all applicable safety policies; complies with all company policies, procedures, and standards
• Performs other duties as assigned

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level