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Senior Data Scientist - GenAI (Retail)

2 weeks, 1 day 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
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 26

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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