Data Science Specialist

Responsibilities • We're adding AI/ML capabilities to transform how our organization extracts insights from documents, detects anomalies, and empowers decision-making. Our team manages 100TB+ of data from across • Education: Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field • Experience: 4+ years in data science, ML engineering, or AI development roles • Production ML: Proven track record building and deploying ML/AI models in production environments • Programming: Strong Python proficiency; experience with SQL and at least one statistical language (R, Stata, Matlab, Sparkly R) • ML Frameworks: Hands-on experience with modern ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face) • Generative AI: Practical experience with LLMs, RAG architectures, and prompt engineering • Document AI: Experience processing and extracting insights from unstructured documents at scale • Cloud Platforms: Working knowledge of AWS AI/ML services (SageMaker, Bedrock preferred) • Communication: Ability to explain complex AI concepts to non-technical stakeholders and translate business problems into technical solutions • Tooling: Experience working with our tech stack (Databricks, AWS AI/ML tools, Starburst preferred)