Senior Customer Data Scientist, H2O.ai
Open-source AI cloud platform
Open for applications
Open-source AI cloud platform
201-500 employees
Open for applications
201-500 employees
Company mission
To democratize AI for everyone.
Role
Who you are
- Proven experience in data science, machine learning, and AI with a minimum of 5 years of hands-on experience
- Experience with solving machine learning problems using H2O products (plus), Python, R
- Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques
- Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
- Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave (plus), or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi
- Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops (plus) MLFlow etc
- 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
- Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails)
- Strong problem-solving skills and the ability to work independently and as part of a team
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders
What the job involves
- Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions
- Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains
- Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities
- Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions
- Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack
Our take
Dedicated to making the world of AI more accessible to everyone, H2O.ai provides a platform that supports the making and operating of AI for businesses. The platform boasts a range of capabilities; from automated machine learning and no-code deep learning, to AI-powered data labelling and extraction; as well as its most recently added "h2oGPT" that supplies enterprise generative AI.
With productivity, organisation and data analysis among the core parts to any business' success, AI and machine learning getting more and more popular - as they are able to outpace humans' ability to absorb, interpret, and make complex decisions quickly. It is no surprise then that H2O.ai has a grand roster of clients including GlaxoSmithKline, Capital One, and Paypal. It is also well-funded, and with such a comprehensive set of offerings it is in a great place to secure further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Nov 2021
$100m
SERIES E
Aug 2019
$72.5m
SERIES D
Total funding: $251.1m
Company benefits
- Remote-friendly culture
- Flexible working environment
- Career growth
Company HQ
Mountain View, CA
Leadership
Sri Satish Ambati
(Co-Founder & CEO)11 years experience in the Software and Engineering field prior to H2O.ai. Worked as Director of Engineering and Principal Engineer of DataStax.
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