Senior Data Scientist

Finfare Financial-posted about 2 months ago
$130,000 - $170,000/Yr
Full-time • Mid Level
Onsite • Irvine, CA
101-250 employees
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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.
  • 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 LangChain, Hugging Face, TensorFlow, 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., LangChain, LangGraph, RAG, Vector Databases, AutoGen, 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, preprocessing, and quality assurance for enterprise or industry-scale use cases.
  • Strong data analysis and visualization skills.
  • Practical knowledge of data engineering.
  • A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques.
  • Competitive health, vision, and dental benefits (covering 100% premium for employee and all dependent(s))
  • 401K (with employer matching)
  • Health and wellness reimbursement
  • Catered lunches 5x times a week
  • Work sponsorship (if applicable)
  • Other employee perks
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