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.

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