Senior Data Scientist

Overview

Are you eager to make a significant impact in the ever-evolving AI landscape? Join Snowpeak AI, a dynamic leader in AI innovation, as a Senior Data Scientist
. You’ll work alongside a top-tier AI team to harness data, advanced analytics, and cutting-edge models to fuel strategic growth and deliver real-world impact. This is your chance to lead data-driven transformation, build intelligent systems, and push the boundaries of conversational AI and automation. We seek a versatile expert with deep proficiency in conversational AI, LLMs
, agentic AI, retrieval systems
, and end-to-end ML development, combined with a relentless drive to learn, experiment, and solve complex problems. From designing RAG-powered chatbots to securing data pipelines, you’ll own critical initiatives that power our AI-enabled operators and customer solutions. Please note that we are a fully on-site environment based in Irvine, CA.

• Design, build, and refine conversational AI systems using retrieval-augmented generation (RAG), combining large language models (LLMs) with vector search and retrieval.
• Develop data ingestion and embedding pipelines to support scalable, efficient information retrieval.
• Fine-tune and adapt LLMs for domain-specific use cases, covering prompt engineering, instruction tuning, and low-rank adaptation (LoRA).
• Integrate AI models into CRMs, workflow platforms and vendor management systems.
• Own the end-to-end development of machine learning algorithms, from data collection and feature engineering to model training, validation, and performance tuning.
• Research and prototype emerging ML architectures and retrieval strategies to enhance performance.
• Resolve and rerank RAG’s training material data for a single source of truth.
• Translate business requirements into robust, data-driven technical solutions with measurable outcomes.
• Collaborate with engineering teams to deploy, scale, and monitor AI systems across the organization.
• Identify new opportunities to embed machine learning into business processes and workflows.
• Partner with Product, Marketing, Finance, Risk, and Operations to define and track key performance metrics.
• Continuously improve data pipelines for accuracy, accessibility, and scalability.
• Support cross-functional data science initiatives and perform additional duties as needed.
• Other duties as assigned.

• Education:
  
  Bachelor’s degree in a quantitative or technical field;
  Master’s or Ph.D. preferred.
• 8+ years of professional experience in data science, AI, or applied machine learning
  .
• Proven experience in designing and building Voice AI systems and/or chatbots
  , including speech recognition, conversational agents, and real-time dialogue models.
• Hands-on proficiency with leading machine learning and deep learning frameworks
  , such as Lang Chain, Hugging Face, Tensor Flow, PyTorch, Keras, scikit-learn, and pandas
  .
• 7+ years of strong programming expertise in Python/Pyspark and SQL
  , with proven experience deploying AI solutions in cloud environments (AWS or Google Cloud Platform).
• 2+ years of practical experience working with MCP,
  LLMs, generative AI, and conversational AI frameworks (e.g., Lang Chain, Lang Graph, RAG, Vector Databases, Auto Gen, CrewAI).
• 5+ years of specialization in at least one area of advanced modeling - predictive analytics, recommendation engine, reinforcement learning, natural language processing (NLP), or causal inference.
• 4+ years of experience translating complex AI and data science concepts into tangible business outcomes
  , including stakeholder engagement and value quantification.
• 4+ years leading end-to-end AI solution delivery
  , from data architecture and model orchestration to front-end integration and user adoption.
• Demonstrated excellence in communication, storytelling, and customer engagement
  , with the ability to present technical insights in a clear and impactful manner.
• Experience developing agentic AI systems for conversational analytics, autonomous reporting, or intelligent decision support.
• Proven ability to design, train, and deploy machine learning models for real-world applications.
• Strong expertise in data acquisition,…