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Lead Data Scientist - GenAI

2 months ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
CI/CD Deep Learning GAN Generative AI Git Hugging Face LLM LSTM Machine Learning MLflow Python RNN SQL
Apply Now
Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 86

Description

  • Work on advanced data science applications to solve business problems.
  • Translate client business problems into high-level analytics solution designs.
  • Present analytical solutions to business audiences and senior management.
  • Develop end-to-end analytics solutions that are efficient, predictable, and sustainable.
  • Design and develop machine learning and Generative AI solutions using RAG.
  • Build LLM-powered applications with Azure OpenAI and orchestrate workflows using LangGraph.
  • Develop agentic AI workflows for automation, insights generation, and decision support.
  • Implement Document Intelligence solutions to extract insights from unstructured data.
  • Participate in technical discussions to select analytic techniques and generate actionable business insights.
  • Develop plans to operationalize analytics solutions and support deployment into business use.

Requirements

  • 6+ years of experience working as a GenAI Data Scientist.
  • 5-10 years of professional work experience, including at least 5 years in Data Science.
  • Proficiency in Python and SQL.
  • Experience with MLflow and model lifecycle management.
  • Experience with Python in a functional programming style, including dependency management, virtual environments, and git version control.
  • Strong understanding of LLMs, prompt engineering, retrieval-augmented generation (RAG), and other generative AI applications.
  • Experience with sequential algorithms such as LSTM, RNN, and transformers.
  • Experience with Bedrock, JumpStart, and HuggingFace.
  • Experience evaluating ethical implications of AI and using red-teaming or similar controls.
  • Expertise in supervised learning, unsupervised learning, deep learning, and transfer learning.
  • Experience with generative algorithms such as GANs and VAEs, as well as pre-trained models such as LLaMa and SAM.
  • Experience developing models from inception through deployment.
  • 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 degree in Business Analytics or equivalent work experience.

Benefits

  • Significant career development opportunities as the company grows.
  • Opportunity to work in a small, fast-growing, challenging, entrepreneurial environment.
  • High degree of individual responsibility.
  • Equal employment opportunities regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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