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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. Its 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, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. 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.

About This Opportunity

Are you a Federal 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 and clients 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!

As a Senior Federal Data Scientist you will become an integral part of the Federal Solutions Engineering team responsible for working with a wide range of customers and prospects across multiple industries and verticals.

You will be responsible for technical sales activities required to support attainment of new and expansion revenue for H2O.ai federal sales. As part of that, you will be a key technical advisor to H2O.ai customers and prospects:

• Being a trusted advisor and go-to resource of all technical Gen AI/ML challenges during the sales process.
• Providing machine learning expertise to help customers solve their business challenges.
• Help selling and architecting value-based AI solutions that address customer needs and leverage Cloud native technologies for scalability and efficiency.

This role is based in the DC Metro area and requires TS/SCI clearance. You will spend 75% of your time in this area so we want you to be in close proximity!

What You Will Do

• Be the trusted data science advisor for our prospects, customers and partners.
• Own account-related technical items and relationships - account planning, project management, and solution design.
• Communicate effectively with internal and external stakeholders to a diverse audience, including: engineers, business people, partners and executives to demonstrate thought leadership. Audiences will be large and small, and interactions will be in-person and online.
• Translate business use cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
• Demonstrate machine learning solutions with engaging storytelling and technical accuracy.
• Create, design, and deliver compelling presentations on complex and technical concepts.
• Lead successful proof of values and concepts.
• Keep track of customer projects and provide technical support for successful delivery wherever necessary.
• Participate in classified conversations with sensitive prospects and customers.

What We Are Looking For

• Bachelor's or a higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
• Minimum of 5 years of relevant data science experience working in the field of Gen AI/ML, in a pre-sales customer facing role or solution architect, or solutions engineering.
• U.S. Citizen with a TS/SCI Security Clearance.
• Strong knowledge of Python programming and familiarity with various data munging and machine learning libraries is required.
• Consultative selling experience is an asset.
• In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines.
• Experience with Cloud platform architectures (AWS, Azure, GCP) and working knowledge of Kubernetes.
• Excellent verbal and written communication skills.
• Self-starter, able to work without any supervision.
• Comfortable with travel away from the DC Metro area up to 25% (customers, conferences, etc.).

How to Stand Out From the Crowd

• Past experience working within the Intelligence community
• Past experience with a consulting company

Why H2O.ai?

• Remote-friendly culture
• Flexible working environment
• Be part of a world-class team
• Base salary range: $180,000 - $200,000. Commission eligible.

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-DNI

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Sales, and Business Development

• Industries

  Software Development and Data Infrastructure and Analytics

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Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

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