• Own the full model lifecycle from data preparation to model deployment within our platform. • Build and maintain reproducible ML pipelines with CI/CD and version control. • Manage and optimize GCP resources to ensure system reliability and performance. • Ensure robust testing, model transparency, and compliance with health data regulations. • Write clean, maintainable, and well-tested code following good engineering standards. • Communicate insights clearly, contribute to code reviews, and support team growth. • Act as a proactive and positive team player, who supports in solving problems and removing blockers.

• Own the full model lifecycle from data preparation to model deployment within our platform • Build and maintain reproducible ML pipelines with CI/CD and version control • Manage and optimize GCP resources to ensure system reliability and performance • Ensure robust testing, model transparency, and compliance with health data regulations • Write clean, maintainable, and well-tested code following good engineering standards • Communicate insights clearly, contribute to code reviews, and support team growth • Act as a proactive and positive team player, who supports in solving problems and removing blockers

• Take ownership of end-to-end development of models, from training to deployment into the real-world. • Build and maintain reproducible ML pipelines with CI/CD and version control. • Manage and optimize GCP resources to ensure system reliability and performance. • Ensure robust testing, model transparency, and compliance with health data regulations. • Write clean, maintainable, and well-tested code following good engineering standards. • Communicate insights clearly, contribute to code reviews, and support team growth. • Act as a proactive and positive team player, who supports in solving problems and removing blockers.

• Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. • Establish and maintain best practices for data collection, analysis, and reporting. • Deliver actionable insights and recommendations focused on landing tangible product impact. • Help foster a culture of data-driven decision-making and continuous improvement within the product teams. • Ensure the integrity and accuracy of the data used for analysis and reporting. • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.