Senior Data Scientist - Agentic AI

Tiger Analytics is seeking experienced Data Scientists to join their advanced analytics consulting team, focusing on AI, machine learning, and data science to deliver business value for Fortune 500 clients.

Location: United States

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

• 9+ 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

• 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.