Top Data & Analytics Jobs

The Director of Data Science at Snap Inc will lead the data science team, drive business outcomes through analytic strategies, manage complex datasets, and deliver insights on ad performance and customer engagement across products. This role involves collaborating with senior executives and ensuring high-performance analytics and model development.

As a Senior Technical Sourcer for Machine Learning at Snap, you will be responsible for sourcing, screening, and engaging candidates for machine learning roles. You will work with recruiters and hiring managers to understand hiring needs, develop sourcing strategies, and enhance the candidate experience, all while managing data and hiring metrics.

As a Senior Technical Sourcer for Snap's Machine Learning Recruiting Team, you'll identify, source, and screen candidates for machine learning roles. You'll work with recruiters and hiring managers, develop strategies for a robust candidate pipeline, use hiring metrics for efficiency, and provide a positive candidate experience.

Lead a team of machine learning engineers and software engineers to develop models and embedding evaluation to improve ranking for ads and content. Define architecture of the embedding platform while ensuring quality, scalability, and drive rapid iterations. Conduct design and code reviews.

As a Machine Learning Engineering Manager, you'll lead development of models and evaluation for user and content understanding, enhance ranking models for ads and growth, and oversee the architecture of the embedding platform, ensuring quality and scalability. You'll mentor your team while collaborating with stakeholders and driving technical excellence through code reviews.

The Software Engineer will work on Machine Learning Infrastructure, focusing on building innovative solutions that enhance Snap's core products and support the development of augmented reality experiences.

As a Vision Scientist at Snap Inc., you will link scientific knowledge with practical applications in AR products, conduct psychophysical experiments, analyze statistical data, and collaborate with teams to enhance product innovation in augmented reality.