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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

Location

United States

Category

Data

Source

himalayas

Posted

today

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