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Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
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 Platforms. Utilize massive data sources to craft business insights and features for innovative solutions. Understand diverse data sources, both structured and unstructured. Requirements
6+ 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 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 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.
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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 Platforms. Utilize massive data sources to craft business insights and features for innovative solutions. Understand diverse data sources, both structured and unstructured. Requirements
6+ 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 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 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.
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