About this role
Job Description
Responsible for the design, development, and implementation of data-driven solutions for the Exchange.
Job Qualifications
Five years of IT experience in modern AI development deployment, including proficiency with SQL, Python, or data visualization tools, or equivalent, is required.
OR
Bachelor's degree and three years of IT experience in modern AI development deployment, including proficiency with SQL, Python, or data visualization tools or equivalent, is required.
Additional Qualifications/Requirements
Work – Onsite (HQ – Dallas, Texas)
- Candidates eligible for the Military Spouse Exemption may be considered for remote work
- PCS Not Authorized/LSP Not Authorized
The AI Data Scientist serves within the AI Product Management Team and is responsible for developing AI and machine learning solutions from the ground up—from business requirements and feasibility assessment through solution design, development, testing, deployment, and ongoing optimization. This is a hands-on technical role that combines data science, software development, and AI solution implementation.
Required Qualifications
- Bachelor's degree or an equivalent combination of education and relevant experience
- Demonstrated experience developing AI or machine learning solutions from business requirements through implementation and deployment.
- Proficiency in Python and SQL, including experience developing reusable code, data workflows, APIs, or application integrations.
- Strong foundation in statistics, machine learning, experimental design, and model evaluation.
- Experience preparing and analyzing structured and unstructured data.
- Experience deploying models in on-premises or self-managed environments.
- Familiarity with generative AI, large language models, and methods for evaluating AI-generated outputs.
- Understanding of data privacy, security, access controls, and responsible AI considerations.
- Ability to translate business requirements into technical solutions and communicate results and limitations to technical and nontechnical audiences.
- Ability to collaborate across product management, infrastructure, cybersecurity, data, and application development teams.
Preferred Qualifications
- Experience deploying and optimizing self-hosted large language models, embedding models, or other open-weight models.
- Experience building on-premises retrieval-augmented generation solutions, including document processing, embeddings, vector search, and model inference.
- Experience with GPU-enabled infrastructure, model-serving frameworks, and inference optimization techniques.
- Familiarity with Kubernetes or other container orchestration technologies.
- Experience with MLOps practices, automated testing, deployment pipelines, experiment tracking, and model registries.
- Experience evaluating model licenses, software dependencies, and technical constraints for enterprise use.
- Experience integrating AI capabilities into enterprise applications and business workflows.
- Experience working within a product management team or delivering solutions against a prioritized product roadmap.
- Experience measuring AI solution performance and business impact using defined baselines, operational metrics, and stakeholder feedback.
Major Duties
Collaborate with internal and external teams to gain a clear understanding of the purpose, scope, and objectives of each data analysis initiative, ensuring strategic alignment and effective support.
Analyze and interpret large data sets to identify trends, patterns, and provide key business insights.
Develop insights and reports from multiple data sources using statistical, and machine learning techniques.
Stay up-to-date with the latest AI research, tools, and techniques.
Performs other duties as assigned.