Top Data & Analytics Jobs in NYC, NY
As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and implement scalable MLOps pipelines, manage monorepos, enhance system observability, and collaborate with data scientists to improve engineering standards. Your role will involve overseeing platforms, ensuring data lineage, and refining deployment strategies for machine learning models.
As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with teams to develop data solutions, optimize data storage, and ensure data integrity and availability. You will leverage technologies like Scala Spark and AWS, mentor junior engineers, and drive best practices for scalable data systems.
As a Senior Data Scientist at Grubhub, you will lead efforts in building scalable experimentation processes, define evaluation metrics, conduct analyses, and collaborate with cross-functional teams. Your role involves leveraging the Grubhub Experimentation Platform and delivering data-driven insights for key product decisions, focusing on experimentation and causal inference in the Diner & Fulfillment area.
Grubhub is seeking a Data Scientist to work in the Discovery and Ads teams, focusing on providing high-quality merchant recommendations and ads. Responsibilities include creating and validating models, proposing algorithmic approaches, designing A/B tests, and driving technology best practices. The role involves collaboration with data scientists, engineers, and product teams to improve recommendations and search functionalities. The Data Scientist will also analyze user engagement and business performance through data-driven insights.
As a Senior Data Engineer, you will enhance Grubhub's data and machine learning pipelines, collaborating with data scientists to productionize data solutions and managing high volumes of data using advanced technologies.
As a Machine Learning Infra Engineer, you'll design and implement scalable MLOps pipelines, manage monorepos, develop monitoring frameworks, and collaborate with data scientists to enhance the data science platform and streamline model deployment processes.
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