Jobs · Analyst

Senior/Lead Data Scientist - Agentic AI

Tiger Analytics · San Francisco, CA · 1 mo ago
RemoteRemoteAnalystFull-time

Key Responsibilities

  • Serve as a resource for creating AI agents and RAG databases to solve problems.
  • Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data.
  • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
  • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
  • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement.
  • Develop and deploy AI and ML solutions on Google Cloud Platform.
  • Utilize massive data sources to craft business insights and features for innovative solutions.
  • Understand diverse data sources, both structured and unstructured.

Requirements

  • 7+ years of overall experience, 4+ years working as a GenAI Data Scientist.
  • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git.
  • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development.
  • Experience with agents frameworks (preferably Langchain).
  • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc.
  • Experience with proprietary and/or open source LLMs.
  • Experience in prompt engineering.
  • Experience with RAG and Vector Databases.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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