Top Data & Analytics Jobs

The Anti-Abuse Analyst at Snap Inc will analyze emerging abuse trends, identify malicious behavior patterns, enhance detection methods, and improve workflows. They will use data-driven insights to influence decisions and collaborate with various teams to manage risks associated with abuse on the platform.

As a Senior Data Scientist at Snap Inc, you'll leverage your expertise in quantitative analysis and data modeling to derive actionable insights and optimize product development. Collaborating cross-functionally with product managers, engineers, and designers, you'll conduct statistical analyses and build predictive models to drive informed decision-making. This role involves crafting metrics and dashboards to communicate insights effectively and initiating projects aimed at discovering new opportunities within the company's data framework.

The Group Analyst at Snap will analyze data to support decision-making, provide insights for optimizing advertising campaigns, and collaborate with Sales and Product teams. Responsibilities include building reports, identifying performance trends, and proposing actions to drive revenue.

As a Machine Learning Engineer, you will develop computer vision algorithms for 3D human body and face reconstruction, and generative AI systems for image and video generation to enhance Snap Inc's AR tools. This role involves innovation, collaboration, and mentorship within a research-oriented team.

As a Machine Learning Engineer Manager, you will lead a team focusing on generative AI technologies, developing tools for image, video, and AR content generation. Key responsibilities include driving technical roadmaps, implementing scalable solutions, innovating product features, and collaborating across teams to enhance user experiences.

The Machine Learning Engineer will develop ML-tools and products for Snapchat, focusing on augmented reality experiences using advanced models. Responsibilities include creating GenAI experiences for edge devices and collaborating with teams to launch new products.

The Director of Data Science will lead a team responsible for driving business outcomes through advanced analytical methods. This role involves managing machine learning models, collaborating with senior executives, improving data governance, and delivering actionable insights while managing multiple projects to enhance ad performance and customer engagement.