Senior Data Scientist – GenAI, NLP

Tiger Analytics

Senior Data Scientist developing generative AI applications to drive business value. Collaborating with clients to translate business problems into high-level analytics solutions.

Posted 7/10/2026full-timeRemote • Maryland, Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing enterprise-grade Generative AI applications using Large Language Models, with a strong focus on building scalable Retrieval-Augmented Generation systems and domain-specific NLP solutions. Proven ability to translate business problems into effective analytics solutions while delivering production-ready AI systems.

Highest-signal resume keywords

Generative AI Application DevelopmentLarge Language Models (LLMs)Natural Language Processing (NLP)Machine LearningData Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AIRetrieval-Augmented Generation (RAG)Document ProcessingInformation ExtractionQuestion AnsweringModel Architecture SelectionProduction-Ready AI SystemsAnalytics Solution DesignTask AutomationAI/ML-Driven Solution Design

Soft Skills

Analytical SkillsProblem-Solving SkillsFacilitation SkillsWritten CommunicationVerbal Communication

Tools & Technologies

GPTLlamaMistralQwenClaudeGeminiDeepSeek

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Artificial IntelligenceMaster's Degree in Machine LearningMaster's Degree in MathematicsMaster's Degree in Statistics

Industry Keywords

Enterprise AIAI AssistantsChatbotsDocument IntelligenceAutonomous AI Agents

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Significant career development opportunities exist as the company grows.
Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.