Senior/Lead Data Scientist – Agentic AI

🔥 0 minutes ago

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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👻 Ghost score 11%

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Create AI agents and RAG databases to solve problems • Develop AI agent tools to automate data retrieval, wrangling, and analysis • Prepare datasets and conduct analytics using data structures, analytics, algorithms/models, and computer science fundamentals • Develop deployable analytical solutions • Analyze and prepare complex and new data sources for analytical solutions • Collaborate with customers and key stakeholders on ideas, design, analysis, and process improvement • Develop and deploy AI and ML solutions on Google Cloud Platform • Use massive data sources to craft business insights and features • Work with structured and unstructured data • Define technical problem statements and hypotheses with cross-functional teams and business partners • Develop efficient and accurate analytical models and incorporate them into analytical data products and tools • Drive strategy by leveraging analytical skills, ensuring business value, and communicating results

🎯 Requirements

• 7+ years of overall experience • 4+ years working as a GenAI Data Scientist • Experience with Python using a functional programming paradigm • Ability to manage dependencies and virtual environments • Version control with Git • Machine learning and deep learning fundamentals • Natural language processing (NLP) • Cloud computing • Understanding of multi-agent systems • Data analysis and programming proficiency • Understanding of ethical considerations in AI development • Experience with agent frameworks, preferably LangChain • Experience with prompt engineering, chatbots, virtual assistants, and image generation • Experience with proprietary and/or open-source LLMs • Experience with RAG and vector databases

🏖️ Benefits

• Significant career development opportunity • Fast-growing and challenging entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities protected by federal, state, or local law