About the role
Fundamental is an AI research lab building NEXUS, a Large Tabular Model for enterprise decision-making, backed by $275m in funding and used by Fortune 100 companies. This Data Scientist role sits within the Extensions team, focused on researching and productizing data science capabilities that improve predictive performance across diverse enterprise datasets, industries, and prediction task types.
You will design and implement production-quality Python components, run rigorous experiments to measure the impact of new approaches, and work across structured data problems including classification, regression, ranking, and forecasting. The role involves close collaboration with Engineering, Research, and Applied AI Engineers to validate approaches on real customer datasets and translate findings into product capabilities.
Highlights
- Work on tabular foundation models and enterprise AI at a category-defining company
- Deep hands-on work with XGBoost, LightGBM, CatBoost, and modern ML methods
- Collaborate across R&D, Engineering, and Applied AI on production use cases
- Competitive compensation with salary and equity, plus comprehensive benefits
This recap is dataskew's editorial summary, not the company's copy.