[Hiring] Lead Data Scientist @Tiger Analytics Inc.

Role Description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

• 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

Qualifications

• 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
• High degree of individual responsibility