Data Scientist 2 (N)

AI/Machine Learning Engineer 2

The Data Scientist 2 demonstrates the ability to work independently on well-defined analytical projects. They have moved beyond foundational tasks to developing and validating predictive models and are responsible for communicating their findings to stakeholders across the organization. This level requires a deeper understanding of the business context and the ability to translate data insights into practical recommendations. Experience at this level shows a significant increase in compensation potential.

Proven experience in applying statistical analysis and predictive modeling to solve real-world problems.

Strong proficiency in SQL and experience working with large, complex datasets.

Expertise in data visualization tools and techniques for effective storytelling.

Experience running analyses and training models on systems equipped with NVIDIA data center GPUs to improve performance.

Proficient in using BigQuery ML to rapidly build and train machine learning models directly within the data warehouse using SQL commands, streamlining the modeling process.

Utilizes Vertex AI AutoML to quickly develop high-performing models on structured, tabular data without extensive custom coding, enabling faster project turnaround.

Excellent communication and presentation skills.