Top Hybrid Data Science Jobs

Use statistical modeling and analytical frameworks to shape data acquisition, validation, and ML training strategies for AD/ADAS. Develop metrics to characterize data distribution and diversity, perform ambiguous problem analysis to inform decisions, communicate findings to stakeholders, embed with engineering teams for domain-specific recommendations, and mentor data science engineers to drive best practices.

The Head of Data will lead the data organization, define the company-wide data strategy, ensure high-quality decision making, collaborate across teams, mentor leaders, and establish best practices in data governance and execution.

Build and maintain benchmarks and evaluation frameworks for document understanding, run experiments, produce weekly technical content (blogs, reports, tutorials), publish analyses comparing models, contribute open-source examples and notebooks, and collaborate with ML teams to highlight capabilities and surface improvements.