Senior Artificial Intelligence Developer for Business Analytics (Hybrid Eligible)

Requisition Id 13158 

 

 

 Visa sponsorship of any kind is unavailable for this position (H1B, F1, OPT, H4, J1, etc.).

 

Overview:    

We are hiring a Business Intelligence (BI) Analyst with expertise in MS Power BI development and a proven foundation in Data Science, including fundamental-level skills in Generative AI and Machine Learning! This role focuses on designing, developing, and moving BI, Analytics, and AI/ML tools that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL into production. This position resides in the Enterprise Applications group of the Applications Development division in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL).

 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of nearly 7,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are essential for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

 

Major Duties/Responsibilities:   

Primary duties for this position will include:

• Provide support for ORNL’s Business Intelligence and data warehouse activities which potentially cover all areas of corporate data (business, human capital management, facilities, operations, and research). ORNL’s BI cubes, models and analytics are heavily centered on Microsoft and SAP technologies.
• Development and support of corporate reports and dashboards utilizing PowerBI and other Microsoft 365 and Azure related reporting tools.
• Collaboration with business and scientific/technical stakeholders to understand needs and gather detailed actionable requirements.
• Analysis of emerging trends and technologies to provide recommendations for roadmaps and BI strategy including Generative AI and ML techniques and solution methods.
• Development and implementation of master data management strategy to include implementation of measures to ensure data accuracy, cleanliness, transformation, and accessibility.
• Collaboration with other DOE labs and private sector companies to understand capabilities.
• Confomity and adherence to both ORNL and ITSD project management requirements and software quality assurance standards and ITIL effective practices.
• Provide guidance for researchers and general users of AI models within ORNL guidelines.

Additional duties for this position may include:

• Development and support of data warehouse technologies beyond the worlds of Microsoft and SAP.  AI and ML applied experience and a general understanding of their potential use cases.
• Provide personal training for end users as needed, on Business Intelligence tools and effective practices.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by encouraging a respectful workplace – in how we treat one another, work together, and measure success.  

 

Basic Qualifications:  

• A BS in computer science, data science, artificial intelligence, business analytics management, applied statistical analytics or a related field of study and eight (8) to twelve (