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Senior Data Scientist - GenAI/NLP

posted by: spj_bot

Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants 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.

We are seeking a highly skilled and experienced Senior Data Scientist, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.

The candidate will have deep expertise in Generative AI, Large Language Models (LLMs), NLP, Retrieval-Augmented Generation (RAG), and Agentic AI. This role requires strong theoretical understanding of modern AI architectures combined with hands-on experience building production-ready GenAI solutions for enterprise clients.

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Applied AI Engineer

posted by: spj_bot

Applied AI Engineer

Location: NYC (On-site, 5 days/week)

Employment Type: Full-time

Salary Range: $150K - $225K

We are a rapidly growing, well-funded technology company operating at the intersection of AI, Software Development, and the Healthcare/Life Sciences industry. We are building a foundational network and applying advanced AI techniques to revolutionize how new life-changing therapies reach patients. This is a demanding, high-autonomy role with end-to-end responsibility for driving measurable business impact. Visa sponsorship is available.

As an Applied AI Engineer, you will be responsible for leveraging LLMs and various Machine Learning techniques to solve critical business problems, automate complex processes, and create groundbreaking AI applications across our product suite. This role requires a deep understanding of the business domain to ensure your technical output directly drives user growth, operational efficiency, and revenue generation.

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