Top Senior Level Data & Analytics Jobs in NYC, NY
Lead the design, development, and deployment of machine learning models and algorithms in the fintech domain. Analyze datasets to extract insights, optimize performance, and implement scalable ML pipelines using Google Cloud Platform, particularly VertexAI and Google Dataflow. Collaborate with engineering teams for model integration and contribute to best practices in machine learning.
As a Principal Full Stack Engineer at IAS, you'll architect and develop ad verification and analytics solutions, leading the software lifecycle and mentoring junior engineers. You'll collaborate with product teams on requirements and build scalable distributed systems, while ensuring best engineering practices across the team.
The Senior Data Analyst will join SeatGeek's Analytics team to drive insights around seller behavior, analyze large datasets, build data models, and contribute to data pipelines. This role influences product strategies for improving ticket inventory management and enhancing fan experiences at live events.
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As a Senior Data Engineer, you will develop and maintain scalable data platforms, architect high-volume data pipelines, improve system performance, ensure data privacy compliance, and collaborate with teams for operational efficiencies. You are expected to debug complex issues and share knowledge through documentation and mentoring.
The Senior Data Engineer will lead the development and maintenance of the data infrastructure and ETL pipelines. Responsibilities include optimizing data flow, designing data models, implementing data quality checks, and creating reporting solutions to support decision-making processes across the company.
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 Analyst at Dandy, you will own high-impact revenue analytics problems, driving insights for customer retention and lifetime value. You will define data language, facilitate decision-making through BI tools, design A/B experiments, and mentor other analysts while collaborating with cross-functional stakeholders.
As a Data Analytics Engineer, you will design and implement features and services for Electronic Trading. Your responsibilities include building data pipelines to manage large datasets for client analytics and regulatory reporting, mentoring teammates, and evolving technical standards within a collaborative team.
Lead the Machine Learning team at OpenX, developing ML products for ad marketplaces. Collaborate with cross-functional teams to set vision and strategy, guide product development, and foster a collaborative team culture.
As a Data Engineering and Analytics Manager at Spark Advisors, you will lead the data function, overseeing the development of a data warehouse, implementing data products, and mentoring your team. You'll work closely with various teams to ensure efficient data processing and provide insights through analytics infrastructures and dashboards.
Top Companies in NYC, NY Hiring Senior Data + Analytics Roles
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