Senior Data Scientist - GenAI/NLP

Posted Yesterday
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2 Locations
In-Office or Remote
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
Design and build production-grade Generative AI and NLP solutions (LLMs, RAG, agents, chatbots, document intelligence). Collaborate with clients to translate business problems into scalable AI architectures and present solutions to stakeholders to drive business value.
Summary Generated by Built In

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.

Responsibilities:

  • Design and develop enterprise-grade Generative AI applications using state-of-the-art Large Language Models.
  • Architect scalable Retrieval-Augmented Generation (RAG) systems for enterprise knowledge retrieval.
  • Develop AI assistants, copilots, chatbots, document intelligence solutions, and autonomous AI agents.
  • Build domain-specific NLP solutions for document processing, search, summarization, classification, information extraction, and question answering.
  • Work extensively with open-source and commercial LLMs including GPT, Llama, Mistral, Qwen, Claude, Gemini, DeepSeek, and similar foundation models.
  • Select appropriate model architectures based on enterprise use cases
    Work on the latest applications of data science to solve business problems
  • Work directly with client stakeholders to translate business problems into high level analytics solution designs
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value

Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or related field.
  • 7+ years in Machine Learning, NLP, or Data Science.
  • 3+ years building enterprise Generative AI applications.
  • Strong experience delivering production-ready AI systems.
  • Strong analytical, problem-solving, and facilitation skills
  • Familiarity with task automation or AI/ML-driven solution design is a plus
  • Excellent written and verbal communication skills

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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or related field.
  • 7+ years in Machine Learning, NLP, or Data Science.
  • 3+ years building enterprise Generative AI applications.
  • Strong experience delivering production-ready AI systems.
  • Deep expertise in Generative AI, LLMs, RAG, NLP, and Agentic AI.
  • Strong analytical, problem-solving, and facilitation skills.
  • Excellent written and verbal communication skills.
  • Familiarity with task automation or AI/ML-driven solution design.

Tiger Analytics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.

  • Fair & Transparent Compensation Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
  • Healthcare Strength Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
  • Leave & Time Off Breadth Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.

Tiger Analytics Insights

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The Company
HQ: Santa Clara, CA
5,000 Employees
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.

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