Top Senior Level Data & Analytics Jobs in NYC, NY
As a Senior Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and build ML models, propose new features, integrate models into user interfaces, and monitor deployments through A/B testing while collaborating with core product teams.
As a Senior Data Scientist at Justworks, you will lead analytics projects to drive product metrics and user engagement. Responsibilities include conducting analyses to enhance user experience, defining KPIs, performing A/B tests, and collaborating with cross-functional teams to present insights that influence business decisions.
As a Senior Business Intelligence Analyst, you will be responsible for performing analyses, building and maintaining reports, models, and dashboards, and providing actionable insights to improve overall business understanding. You will collaborate with stakeholders in the Benefits Operations function to leverage data for addressing complex problems.
Seeking an experienced Senior Data Analyst with a passion for numbers and marketing to join the Data Analytics and Business Operations team at Justworks. Responsible for managing specific issue resolution activities, analyzing large data sets, defining KPIs, building dashboards, translating analysis into insights, and measuring marketing campaign effectiveness.
The Senior Architect will provide guidance on DataBricks, design data flow and processing pipelines, manage data architecture, assist clients with data management, and coach consultants. The role includes ensuring data integrity and coordinating with application owners for analytics integration.
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As a Senior Data Engineer at Hinge, you will design, build, and optimize data pipelines, enhance data modeling techniques, and maintain analytics data warehouses. Your efforts will improve product services, ensuring data consistency and low latency while directly impacting user experience and product performance. You'll work cross-functionally to support data-driven decisions and participate in on-call rotations for system reliability.
The Principal Data Scientist will own the marketplace health by defining metrics, conducting analyses, building auction mechanics, and collaborating with R&D and Sales for growth strategy and product roadmap. Responsibilities include monitoring marketplace metrics and driving growth through deep dives on impacts for high-stakes launches.
As the Director of People Analytics, you will lead a team of HR analysts, transform data into impactful insights, integrate analytics into operational processes, and collaborate with executives for strategic initiatives. Your focus will be on employee lifecycle metrics, diversity & inclusion, and enhancing reporting and analytics capabilities across HR systems.
As a Senior Business Systems Analyst, you will manage and optimize SaaS applications, ensure compliance and governance, support vendor selection, and identify cost-saving opportunities while collaborating across teams to improve workflows and implement emerging technologies.
As a Staff Engineer on the Data & Analytics team, you will lead high-visibility projects, provide technical leadership, mentor engineers, and drive architectural decisions for the platform. You will collaborate with product teams to enhance data management ecosystems and ensure system reliability and scalability for data ingestion and processing.
As a Machine Learning Engineer, you'll identify and integrate ML opportunities into the product, prototype models, collaborate with the Product Engineering team, and create data pipelines to support ML systems. You'll leverage your expertise in natural language processing and provide guidance to enable other teams to build ML-powered features.
As a Senior EDI Analyst, you will monitor and improve EDI systems that support procure-to-pay and order-to-cash processes, troubleshoot issues, and participate in cross-functional teams for new EDI document launches.
The Senior Engineer will be responsible for architecting and building scalable data processing systems to handle large data volumes, collaborating with teams to optimize system performance and costs, and engaging in the full software development lifecycle, including production support.
As a Senior Data Engineer II at Upside, you will lead the development of consumer marketing and app feature attribution products, collaborate with cross-functional teams including founders and data scientists, and focus on data engineering and platform development. You will also be involved in implementing marketing attribution models and work with various consumer technologies.
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