Senior Data Scientist

AI Lab Senior Data ScientistOur client is establishing an AI Lab to explore and implement generative AI and machine learning solutions that enhance staff productivity, improve analytical capabilities, and strengthen their Division's work in consumer protection and community development. They are looking for a full-stack Senior Data Scientist to support the AI Lab's research, development, and implementation of AI/ML solutions, with emphasis on generative AI applications. This role requires end-to-end ownership, from exploratory research and model development through application deployment and production maintenance. The ideal candidate is comfortable working across the full technology stack: building models, creating visualizations, developing applications, and deploying solutions to on-prem and/or cloud infrastructure. Due to the nature of their work, only US Citizens can be considered for this role.ResponsibilitiesResearch, design, and develop machine learning and artificial intelligence solutions to support DCCA's mission, with emphasis on generative AI applicationsBuild and iterate on proof-of-concept AI solutions that demonstrate value for specific use cases, transitioning successful prototypes into production applicationsDesign and implement applications leveraging large language models for text analysis, summarization, information extraction, document classification, and workflow automationDevelop prompt engineering strategies and retrieval-augmented generation (RAG) systems to improve AI application performanceBuild, deploy, and maintain AI/ML models and applications in cloud environments (AWS, Kubernetes, or internal analytics platforms), working collaboratively with AI Cloud Engineers when available or independently managing end-to-end deploymentDevelop interactive dashboards and analytical applications using Python frameworks (Streamlit, Dash, Flask) or R Shiny; leverage AI-assisted development tools to rapidly prototype and iterate on data productsQualifications/Background ProfileAt least six years of hands-on experience developing, deploying, and maintaining AI/ML applications within a large, professional, or academic organizationBachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or related technology field (Master's degree preferred)Expert proficiency in Python or R for data science development; experience with additional programming languagesProduction deployment experience: Demonstrated ability to build, deploy, and maintain AI/ML applications in cloud environments, including containerization and basic CI/CD practicesApplication development: Proficiency building interactive applications and dashboards using frameworks such as Streamlit, Dash, Flask, RShiny, or similarData visualization: Strong experience creating visualizations and dashboards using Python/R libraries, Tableau, Power BI, or similar tools to communicate technical concepts to non-technical audiencesAI/ML expertise: Advanced knowledge of machine learning, NLP (text normalization, Named Entity Recognition, POS tagging, word embeddings), and Generative AI technologies; experience with frameworks such as Scikit-learn, Spacy, XGBoost