Senior Customer Data Scientist

Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you!

This position is based in New York, NY.

• Deliver end-to-end Generative / Agentic AI solutions blended with Data Science and Machine Learning models for enterprise customers, spanning the entire lifecycle from problem definition, data preparation, model development, deployment, and monitoring.
• Build custom AI/ML agents and applications using the H2O AI stack, and help design verticalized use cases across industries (e.g., banking, finance, insurance, retail, healthcare, manufacturing).
• Support customers in their end-to-end GenAI journey, including LLM selection, evaluation, fine-tuning, prompt engineering, and building scalable GenAI/RAG pipelines tailored to their business needs.
• Apply knowledge of predictive AI algorithms (regression, ensemble methods, time-series forecasting, classification, anomaly detection, etc.) along with Generative AI techniques to deliver hybrid solutions.
• Conduct customer enablement programs, such as hands-on training sessions, workshops, hackathons, and boot camps, to help data scientists, business users, and executives effectively adopt AI.
• Help customers leverage H2O Driverless AI, H2O Wave, H2O LLM Studio, and other tools for experiment tuning, interpretability, model governance, and monitoring.
• Translate technical outputs into business impact narratives and guide non-technical stakeholders on the value and risks of AI adoption.
• Collaborate with internal teams to advance H2O’s GenAI/ML technology stack, contribute to reusable assets, best practices, and industry accelerators.

• 5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record of delivering projects for enterprise customers.
• Strong expertise in LLMs and GenAI: fine-tuning, evaluation, RAG design, LLMOps, guardrails, and building domain-specific/custom LLM solutions.
• Experience with predictive AI algorithms (GLMs, Random Forest, Gradient Boosting, Neural Networks, NLP, time-series forecasting, anomaly detection, etc.).
• Proven ability to design and deliver training, workshops, and customer enablement programs for technical and business stakeholders.
• Hands-on experience with H2O products (Driverless AI, H2O-3, H2O Wave, LLM Studio) or similar AI/ML platforms.
• Proficiency in Python (preferred) and standard data science/ML libraries and frameworks.
• Familiarity with MLOps and production monitoring tools such as H2O MLOps, MLflow, or equivalents.
• Excellent customer-facing and communication skills: ability to engage with business stakeholders, executives, data scientists, and engineers, and clearly articulate technical concepts in business language.
• Strong problem-solving skills and the ability to work independently in dynamic, customer-driven environments.

• Prior experience in building AI/ML agents and GenAI applications for industry-specific use cases.
• Demonstrated thought leadership in AI—published blogs, talks, or open-source contributions.
• Experience running AI hackathons, bootcamps, or innovation workshops with enterprise customers.
• Familiarity with enterprise-grade AI solutioning (security, governance, scalability, compliance).

• Market Leader in Total Rewards
• Remote-Friendly Culture
• Flexible working environment
• Be part of a world-class team
• Career Growth
• Salary range: $160,000 - 200,000 +