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Senior Data Scientist - GenAI (Retail)

1 month ago
United States
Full-time
Senior
AI (Artificial Intelligence)
Data Science and Analytics
Databricks Deep Learning GAN Generative AI Hugging Face LLM LSTM Machine Learning MLflow MLOps Python RNN SQL
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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 74

Description

  • Work on advanced data science applications to solve business problems.
  • Translate client business problems into high-level analytics solution designs.
  • Present analytic solutions to business audiences and senior management, explaining robustness and business value.
  • Develop end-to-end analytics solutions that 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 and orchestrate workflows using LangGraph.
  • Develop agentic AI workflows for automation, insight generation, and decision support.
  • Implement Document Intelligence solutions to extract insights from unstructured data.
  • Select and apply appropriate analytic techniques with team members to generate actionable business insights.
  • Develop plans to operationalize analytic solutions and embed them into business processes.

Requirements

  • 8-10 years of professional work experience, including at least 5 years in Data Science.
  • Strong proficiency in Python and SQL.
  • Practical exposure to retail or supply chain domain problems such as logistics, distribution networks, or demand planning.
  • Experience with MLflow and model lifecycle management.
  • Solid understanding of LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications.
  • Experience with sequential algorithms such as LSTM, RNN, or transformers.
  • Experience with Bedrock, JumpStart, and Hugging Face.
  • Experience evaluating ethical implications of AI and applying controls such as red-teaming.
  • Expertise in supervised and 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.
  • Ability to work with IT and Data Engineering teams to 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 degree in Business Analytics or equivalent work experience.

Benefits

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

Interested in this position?

Apply directly on the company website

Apply Now

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