Data Scientist
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 As a member of the Grandmaster team you have an opportunity to work with an incredible team of world class talents, including three former world #1 and interact with all departments at H2O, like engineering, sales or customer data science. The team has world wide coverage with members from the US west coast to Japan/Singapore. This is a hybrid role based in Austin, Texas. What You Will Do The team is very agile and you can contribute to H2O.ai’s success in many different ways. You can impact one, some or all of the activities below and experience with customers is a plus.- Help our research efforts in GenAI especially foundation modeling, datasets and improving RAG.
- Improve H2O AI products integrating your tricks or create new apps to solve use-cases you have experience with.
- Help pre-sales team during PoCs to close deals.
- Support our customers framing new use-cases and get the best out of H2O AI platform.
- Learn new techniques competing in AI challenges.
- Share your unique knowledge or skills with the team and data scientists.
- Expand our community: write blog posts, share videos or interview domain experts in AI
- Demonstrate technical leadership in a H2O Product, Project or new initiative.
- Have an impact on H2O’s revenue growth or regional/world wide awareness of H2O product offering and leadership in AI. This can be achieved through meetups, conferences, blog posts or direct customer interactions, like training, PoCs or use-case delivery. You may also be part of CEO’s office initiatives or customer calls.
- Desire to be recognized as an expert in one or several domains like GenerativeAI, NLP/LLM, Computer Vision or AutoML
What We Are Looking For
- Bachelor’s or a higher education degree in Computer Science/Engineering, data science, statistics or related field
- Interest or experience with Kaggle or other competitive data science platforms is a plus.
Data Science / Machine Learning Skills
- GenerativeAI, LLM, Multi-Modal NLP, Computer Vision, Tabular IID, Timeseries, Feature Engineering
- Model interpretability, validation and backtesting
- Exploratory data analysis and Data Visualization,
- DeepLearning frameworks: pyTorch or TensorFlow,
- Scikit-learn, GBMs, linear models
- Unsupervised models/techniques: K-means, UMAP, t-SNE
Programming Languages/Frameworks
- Proficient in Python
- Knowledge of R, Scala, Rust or Go can be beneficial.
- Experience with Spark is a plus but is not required
Additional Requirements
- Proficient in spoken and written English
- Experience of working in a customer-facing environment is a plus
- Great communication skills.
- Aptitude to independently investigate and find solutions to technical problems
- Maker mindset.
- Humble and open to others’ ideas or suggestions.
- Market Leader in Total Rewards
- Remote-Friendly Culture
- Flexible working environment
- Be part of a world-class team
- Career Growth
- Salary DOE, 100,000-130,000k with equity
#LI-Hybrid
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