Top Data & Analytics Jobs

Join Snap Inc. as a Data Scientist and leverage your expertise in quantitative analysis and data modeling to deliver impactful insights for informed business and product decisions. Collaborate with cross-functional teams to optimize product performance and create data-driven solutions.

Looking for a Data Scientist to apply quantitative analysis and statistical modeling for impactful data insights, collaborate with cross-functional teams, and drive informed decision-making to improve product performance at Snap Inc.

As a Group Analyst at Snap Inc, you'll support the Sales team by providing real-time analysis for auction campaigns, identifying performance trends, and offering data-driven upsell recommendations. Collaborating with cross-functional teams, you'll help build measurement strategies and insights, and support clients throughout the RFP process, aiming to optimize campaigns and improve workflows.

The Staff Machine Learning Engineer will build and deploy machine learning models for identity resolution and ads attribution, collaborate with cross-functional teams, conduct code reviews, and ensure code quality while staying abreast of the latest machine learning technologies.

The Staff Machine Learning Engineer will build, optimize, and deploy machine learning models for identity resolution and ads attribution, collaborate with teams on strategies, perform code reviews, and ensure high code quality.

The Staff Machine Learning Engineer will build, optimize, and deploy machine learning models for identity resolution and ads attribution, collaborate with teams to align strategies, stay current with technologies, perform code reviews, and ensure code quality while creating scalable products.

As a Machine Learning Engineering Manager, you will lead a team focused on causal measurement techniques to assess the effectiveness of marketing and product interventions. You'll oversee system architecture, conduct lift analyses, foster collaboration on experimental designs, and ensure high-quality insights through rigorous testing methodologies. You will also drive innovation in causal metrics and advocate for best practices within the organization.