Lead Data Scientist – GenAI
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.
• 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.