Data Scientist, Senior

Requirements

• Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.
• Job Profile Summary:
• Defines systems requirements, makes recommendations for technology selection, and performs moderately complex data analysis to ensure data management objectives within a work unit are met.
• Job Description:
• Position Salary Range:
• $90,000 - $114,000 per year, DOE
• Essential Duties:
• Leverages machine learning, artificial intelligence, large language models (LLMs), and other advanced analytical techniques to develop innovative solutions that address operational and strategic institutional needs.
• Promotes the responsible, ethical, secure, and compliant use of data science, machine learning, and artificial intelligence technologies in accordance with institutional policies and applicable regulations.
• Determines and develops advanced research design methodologies, data analysis approaches, statistical modeling procedures, machine learning solutions, and generative AI applications to meet operational and strategic organizational needs.
• Selects and applies advanced statistical, predictive modeling, machine learning, large language model (LLM), and generative AI techniques to generate actionable insights and address complex organizational challenges using structured and unstructured data sources.
• Develops, deploys, integrates, and maintains statistical models, machine learning models, and AI-enabled solutions, including applications leveraging large language models (LLMs), foundation models, and retrieval-augmented generation (RAG) techniques in development and production environments.
• Implements monitoring and evaluation processes for statistical models, machine learning models, and AI-enabled solutions to assess performance and enable continuous improvement.
• Collaborates with technical and non-technical stakeholders to translate business needs into analytical solutions and actionable recommendations.
• Creates and maintains technical documentation, analytical workflows, and model documentation.
• Supports the adoption of machine learning operationalization (MLOps/AIOps) practices, including version control, model deployment, workflow automation, and reproducibility.
• Learns, evaluates, and adopts new analytical methodologies, technologies, and tools to meet changing organizational needs.
• Presents analytical findings and recommendations through written reports, presentations, and data visualizations to technical and non-technical stakeholders.
• Provides technical guidance and mentorship to junior staff members and project teams as appropriate.
• Demonstrated knowledge of and experience applying generative AI and large language model (LLM) technologies, using a wide-ranging suite of structured and unstructured data sources and success outcomes, as well as advanced traditional and modern/machine learning predictive modeling methodologies.
• Experience developing, validating, deploying, and maintaining machine learning models and AI-enabled applications, including solutions leveraging large language models (LLMs), foundation models, and retrieval-augmented generation (RAG) techniques in cloud or production environments.
• Demonstrated knowledge of machine learning and AI best practices, including cross-validation, hyperparameter tuning, prompt optimization, model monitoring, performance evaluation, explainability, and responsible AI principles.
• Experience evaluating, selecting, and applying large language models (LLMs)

Additional Information

Job Profile: Business and Data Analyst 3 Job Family: Business and Data Analytics Time Type: Full time Max Pay - Depends on experience: $114,000.00 USD Annual Apply before 11:59 PM Arizona time the day before the posted End Date.

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Company Intel

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