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Tiger Analytics

Delivers Data and AI transformation

Senior/Lead Data Scientist - Agentic AI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listedRemote

About the Job

Requirements

  • At least 7 years of overall experience, including at least 4 years working as a Generative AI Data Scientist.
  • Experience using Python with a functional programming paradigm, managing dependencies and virtual environments, and using Git for version control.
  • Knowledge of machine learning and deep learning fundamentals, natural language processing, cloud computing, multi-agent systems, data analysis, programming, and ethical considerations in AI development.
  • Experience with agent frameworks, preferably LangChain.
  • Experience with prompt engineering for chatbots, virtual assistants, and image generation.
  • Experience with proprietary and/or open-source large language models.
  • Experience with retrieval-augmented generation and vector databases.

Responsibilities

  • Create AI agents and retrieval-augmented generation databases to solve problems, and develop AI agent tools to automate data retrieval, wrangling, and analysis.
  • Use knowledge of data structures, analytics, algorithms and models, and computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
  • Analyze and prepare complex and new data sources and incorporate them into analytical solutions.
  • Collaborate with customers and key stakeholders to initiate ideas and perform design, analysis, and process improvement.
  • Develop and deploy AI and machine learning solutions on Google Cloud Platform.
  • Use large data sources to generate business insights and features for innovative solutions.
  • Work with diverse structured and unstructured data sources.
  • Apply machine learning, data mining, and information retrieval to design, prototype, and build advanced analytics engines and services.
  • Collaborate with cross-functional teams and business partners to define technical problem statements and hypotheses to test.
  • Develop efficient and accurate analytical models that mimic business decisions and incorporate them into analytical data products and tools.
  • Leverage analytical skills to inform current and future strategy, ensure business value, and communicate results.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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