# Data Scientist – Extensions
As a Data Scientist focused on Extensions, you will help advance cutting-edge AI systems designed for enterprise decision-making at scale. You will work on complex structured data problems, improving the predictive performance of large tabular models across diverse industries and real-world use cases. This role sits at the intersection of research and production, requiring you to translate experimental ideas into robust, production-grade solutions that directly impact enterprise customers.
## Accountabilities
- Research and develop advanced data science methods to improve predictive performance across large-scale structured enterprise datasets and diverse prediction tasks.
- Design, implement, and maintain production-quality Python components with a strong focus on correctness, scalability, and reusability.
- Analyze real-world enterprise data characteristics and design strategies to ensure robust model performance under conditions such as missing data, class imbalance, and distribution shifts.
- Design and run rigorous experiments, build meaningful benchmarks, and evaluate model improvements using statistically sound methodologies.
- Work across a broad range of structured machine learning problems including classification, regression, ranking, and forecasting.
- Collaborate closely with research and engineering teams to understand model behavior and translate insights into product improvements.
- Partner with Applied AI Engineers to validate approaches on real customer datasets and transform findings into deployable capabilities.
- Contribute to technical documentation, internal tooling, and best practices to improve reproducibility and knowledge sharing across teams.