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Tiger AnalyticsData
Lead Data Scientist - GenAI
United StatesPosted today
Tiger Analytics is a leading advanced analytics consulting firm specializing in Data Science, Machine Learning, and AI, serving Fortune 500 clients and recognized by market research firms.
Location: United States
Responsibilities
- 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. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Additional Information
- Originally posted on Himalayas
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