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Top Data & Analytics Jobs in New York City, NY
As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.
The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.
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The Senior Data Analytics Engineer will build and maintain data pipelines, define reusable data sets for various business functions, and design frameworks to validate data consistency. Responsibilities include ensuring user privacy and security while leveraging the latest tools for data optimization and delivery.
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As a Staff Data Scientist, you will lead data science initiatives, manage the data science lifecycle, and collaborate with leadership to develop impactful solutions. You'll translate complex analyses into actionable insights, shape data strategy, and foster a data-driven culture within the organization. Additionally, you'll innovate using AI and machine learning techniques to solve business challenges.
The Director of Data Science (Revenue Analytics) will lead the Revenue Analytics team to analyze and drive data-driven decisions to grow revenue. This involves building and owning reports, providing insights, and guiding cross-functional initiatives. The role requires strong critical thinking skills and the ability to communicate effectively with stakeholders.
As a Senior AI Engineer, you will lead the development and scaling of AI products, collaborating with interdisciplinary teams to shape and deploy innovations that enhance user productivity and drive significant impact on the business.
The Senior Analyst in Revenue and Pricing will support data-driven business intelligence through revenue analysis, pricing model development, and actionable insights delivery. Responsibilities include conducting complex revenue analyses, creating pricing models, leveraging technical skills for dashboard creation, and identifying opportunities for operational improvement. The role requires building relationships with stakeholders and communicating findings effectively.
Lead a team of Data Integration Engineers, providing technical guidance on data integration practices and ensuring smooth integration with Riskified's platform. Oversee data flow validation and build tools to automate data validation, while aligning team activities with business goals. Act as a key advisor for strategic clients and manage multiple projects.
As a Data Engineer at Kustomer, you'll enhance data architecture and streamline ingestion processes to improve data-driven products. You'll analyze datasets, partner with stakeholders for insights, debug data issues, and oversee data pipelines, ensuring data integrity and privacy.
The AI Operations Specialist will evaluate AI-generated text for accuracy and relevance, conduct testing calls, document bugs, collaborate with teams to improve functionalities, and attract top talent. This role focuses on ensuring the quality of AI-driven products in housing and healthcare.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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