Tiger Analytics Logo

Tiger Analytics

Senior Data Scientist - GenAI/NLP

Posted Yesterday
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Pennsylvania, USA
Senior level
In-Office or Remote
Hiring Remotely in Pennsylvania, USA
Senior level
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.
The summary above was generated by AI

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.

Similar Jobs

8 Minutes Ago
Remote or Hybrid
Seattle, WA, USA
212K-244K Annually
Mid level
212K-244K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead development and execution of internal communications and change management strategies to align employees with organizational goals. Manage channels, create content (copywriting, speech writing), use data to improve communications, build stakeholder relationships, embrace technology, oversee project planning/budgeting, and mentor team members while resolving conflicts and driving adoption of communication initiatives.
8 Minutes Ago
Remote or Hybrid
United States
124K-335K Annually
Senior level
124K-335K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Fixed-term seasonal Senior Manager on PwC's Tax Compliance team delivering tax planning and compliance for high-net-worth individuals and privately-owned businesses. Lead strategic tax advisory projects, navigate complex tax regulations, manage and coach teams, apply systems thinking, and communicate holistic client recommendations while fostering inclusive, high-performing teams.
15 Minutes Ago
Remote or Hybrid
United States
81K-109K Annually
Mid level
81K-109K Annually
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Manage and engage dealerships through frequent in-person visits to drive vehicle and parts sales. Provide mentorship, training, inventory support, product launch coordination, CSI monitoring, local market analysis, and customer issue resolution. Requires strong relationship-building, analytical use of sales data, and extensive travel within the assigned territory.
Top Skills: Excel

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account