Senior Data Scientist

Posted Yesterday
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Sydney, New South Wales, AUS
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
The Role
Partner with stakeholders to design, build, validate, and deploy predictive and generative AI/ML solutions. Perform end-to-end data science work (exploration, feature engineering, modelling, evaluation), translate results into business insights, explore GenAI approaches (LLMs, RAG, agentic workflows), and collaborate with engineering on productionisation and MLOps.
Summary Generated by Built In

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 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 Sydney, Australia.

What You Will Do

  • Partner with stakeholders to deliver data-driven AI/ML solutions across industries such as banking, insurance, retail, healthcare, and manufacturing.
  • Build, validate, and deploy predictive ML models for forecasting, classification, optimisation, and anomaly detection.
  • Apply statistical and ML techniques (regression, trees, ensembles, time series, clustering) based on business needs.
  • Explore GenAI approaches where relevant, including LLMs, SLMs, RAG, prompt engineering, and basic agentic workflows.
  • Perform end-to-end data science work including data exploration, feature engineering, modelling, evaluation, and interpretation.
  • Translate model outputs into actionable insights for business stakeholders.
  • Collaborate with engineering teams on model productionisation.
What We Are Looking For
  • 4+ years of experience in data science, machine learning, or applied AI roles.
  • Strong predictive ML foundations (feature engineering, model selection, evaluation, interpretability).
  • Experience working with real-world datasets and business problem framing.
  • Exposure to GenAI: LLMs, SLMs, RAG, prompt engineering, or agentic workflows.
  • Strong Python skills.
  • Understanding of deployment/MLOps concepts.
  • Strong communication, storytelling and presentation skills.

How to Stand Out From the Crowd

  • H2O product experience.
  • Kaggle competition experience or equivalent applied ML work.
  • Cloud or production ML exposure.
  • A/B testing or causal inference experience.
  • SLM or agentic AI exposure.
  • Open-source, research, or technical writing.

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.

Skills Required

  • 4+ years of experience in data science, machine learning, or applied AI roles
  • Strong predictive ML foundations (feature engineering, model selection, evaluation, interpretability)
  • Experience working with real-world datasets and business problem framing
  • Exposure to GenAI: LLMs, SLMs, RAG, prompt engineering, or agentic workflows
  • Strong Python skills
  • Understanding of deployment/MLOps concepts
  • Strong communication, storytelling and presentation skills
  • H2O product experience
  • Kaggle competition experience or equivalent applied ML work
  • Cloud or production ML exposure
  • A/B testing or causal inference experience
  • SLM or agentic AI exposure
  • Open-source, research, or technical writing
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The Company
Mountain View, CA
321 Employees
Year Founded: 2012

What We Do

H2O.ai is the leading AI cloud company, on a mission to democratize AI for everyone. Customers use the H2O AI Hybrid Cloud platform to rapidly make, operate and innovate to solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI partner to more than 20,000 global organizations, including AT&T, Aegon/ Transamerica, Allergan, Bon Secours Mercy Health, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Hitachi, Kaiser Permanente, PayPal, PWC and Walgreens, over half of the Fortune 500 and one million data scientists. Goldman Sachs, NVIDIA and Wells Fargo are not only customers and partners, but strategic investors in the company. H2O.ai’s customers have honored the company with a Net Promoter Score (NPS) of 78— the highest in the industry based on breadth of technology and deep employee expertise. The world’s top 20 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are employees of H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company’s purpose. Please join our movement at www.H2O.ai.

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