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// POSTED: Apr 17, 2026

Lead Data Scientist – GenAI

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Job Description: • Work on the latest applications of data science to solve business problems • Work directly with client stakeholders to translate business problems into high level analytics solution designs • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably • Design and develop **machine learning and Generative AI solutions** using Databricks and Azure AI services. • Build **LLM-powered applications** leveraging Azure OpenAI and orchestrate workflows using **LangGraph** • Develop **agentic AI workflows** for automation, insights generation, and decision support • Implement **Document Intelligence solutions** for extracting insights from unstructured data • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution Requirements: • 8 - 13 years of professional work experience with at least 5 years in Data Science • Strong hands-on experience with **Databricks (PySpark, Delta Lake)** • Expertise in: • **Azure Data Factory (ADF)** • **Azure Blob Storage** • **Azure OpenAI & Azure AI Foundry** • **Document Intelligence** • Proficiency in **Python and SQL** • Experience with **MLflow** and model lifecycle management • Hands-on experience with **Databricks Model Serving** • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes • Experience building **end-to-end ML pipelines in production** • Familiarity with CI/CD pipelines, monitoring, and model governance • Ability to design scalable and reliable AI systems • Bachelor's in Business Analytics or equivalent work experience. Benefits: • Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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