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H2O.ai

Senior Customer Data Scientist

Posted 12 Hours Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Senior Customer Data Scientist will develop and deliver AI solutions, enable customer adoption, engage stakeholders, and contribute to platform development in enterprise settings.
The summary above was generated by AI

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control.
Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
For more information, visit www.h2o.ai.

About This Opportunity 

We are looking for a Senior Customer Data Scientist who thrives at the intersection of cutting-edge AI and real enterprise impact. You will work directly with some of APAC's most sophisticated organisations - helping them move from AI curiosity to AI value, across the full spectrum of predictive and generative AI.

This is not a lab role. You will be in the room with executives, data science teams, and business stakeholders - building solutions, running enablement programs, and translating complex AI into outcomes that decision-makers can act on. You will be backed by a world-class team including Kaggle Grandmasters, and equipped with H2O.ai's industry-leading platform spanning AutoML, LLM Studio, and agentic AI tooling.
This position is based in US.

What You Will Do

AI Solution Development & Delivery

  • Design and build custom AI/ML agents and applications using the H2O AI stack, tailored to high-value industry use cases across banking, insurance, healthcare, retail, and manufacturing.
  • Lead end-to-end GenAI solution delivery - LLM selection and evaluation, fine-tuning, RAG pipeline design, LLMOps, and guardrails - at enterprise scale.
  • Develop agentic AI workflows that automate complex, multi-step business processes and integrate into customer production environments.
  • Build reusable accelerators, solution templates, and best practice frameworks that scale impact across the customer base.

Customer Enablement & Adoption

  • Design and deliver hands-on enablement programs - workshops, hackathons, bootcamps, and training sessions - for audiences ranging from data scientists to C-suite executives.
  • Guide customers through their AI adoption journey: from first use case identification through model governance, monitoring, and continuous improvement.
  • Help customers get maximum value from H2O.ai products including Driverless AI, H2O Wave, H2O LLM Studio, H2O-3, and Document AI.
  • Run innovation sprints and datathons that accelerate customer capability building and generate tangible proof points.

Stakeholder Engagement & Communication

  • Translate technical AI outputs into compelling business narratives - clearly articulating value, risk, and next steps for non-technical stakeholders and executives.
  • Serve as a trusted technical advisor across customer organizations, building deep relationships with data science teams, business units, and AI leadership.
  • Contribute to pre-sales engagements - scoping solutions, building proof of concepts, and providing technical credibility that accelerates deal progression.
  • Represent H2O.ai externally through customer briefings, industry events, and thought leadership content.

Platform & Practice Development

  • Contribute to H2O.ai's GenAI and ML platform evolution by feeding customer insights and real-world requirements back into product and engineering teams.
  • Develop industry-specific accelerators, demo environments, and solution playbooks for the Field Technology team.
  • Collaborate with Program Managers, Senior AI Engineers, and Kaggle Grandmasters to deliver cohesive, high-quality engagements.

What We Are Looking For

Experience & Background

  • 5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record delivering projects for enterprise customers.
  • Strong expertise across both predictive AI (GLMs, gradient boosting, random forests, neural networks, time-series, anomaly detection) and generative AI (LLMs, RAG, fine-tuning, evaluation, guardrails).
  • Demonstrated experience building and deploying AI agents and GenAI applications for industry-specific use cases.
  • Proven ability to design and deliver customer enablement programs - workshops, hackathons, and training - for technical and business audiences.

Skills & Capabilities

  • Exceptional customer-facing communication skills - able to engage credibly with engineers, data scientists, and C-suite executives in the same day.
  • Fluency in Python and standard ML/data science libraries and frameworks.
  • Hands-on experience with H2O.ai products or comparable enterprise AI/ML platforms.
  • Strong understanding of enterprise AI requirements: security, governance, scalability, compliance, and responsible AI.
  • Ability to work independently across multiple concurrent customer engagements without losing quality or urgency.

How to Stand Out From the Crowd

  • Kaggle competition experience or active participation in the data science community.
  • Published blogs, conference talks, or open-source contributions demonstrating thought leadership in AI.
  • Experience in regulated industries - financial services, healthcare, or government - with an understanding of compliance and risk considerations in AI deployment.
  • Familiarity with agentic AI frameworks, MCP, or LLM orchestration tooling.

Why H2O.ai?

  • Market leader in total rewards
  • Remote-friendly culture
  • Flexible working environment
  • Be part of a world-class team
  • Career growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.

H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. 

H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.

Please visit www.H2O.ai to learn more.


#LI-Hybrid

Top Skills

Agentic Ai Tooling
Automl
H2O.Ai
Llm Studio
Ml/Data Science Libraries
Python

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