Get the job you really want.
Top Data & Analytics Jobs in New York City, NY
The Manager, Fraud Analytics will oversee fraud losses by managing existing controls and leading a team of analysts in monitoring and assessing fraud activities. The role involves collaborating with various teams to implement strategies and propose changes based on KPIs and data analysis. The manager will also oversee vendor relationships and ensure the effectiveness of fraud prevention measures.
As a Trading Analyst, you will analyze supply and demand data, assist in developing trading tools, and provide insights to aid market optimization. Collaborating with quantitative analysts and trading operations, you'll enhance partner relationships and contribute to revenue maximization through data-driven decision-making and strategic initiatives.
The Senior Product Data Analyst will analyze seller behavior, influence product decisions, and communicate insights used to shape the company's Supply strategy. The role includes building data models and dashboards, conducting A/B tests, and collaborating with engineers and product teams to enhance data processes and drive inventory delivery to fans.
The Research Scientist will develop state-of-the-art NLP models and publish research, while collaborating with a team of scientists and engineers. Responsibilities include reading current research, writing clean code, and contributing to the engineering culture at Kensho, an AI innovation hub.
As a Senior Research Scientist at Kensho, you'll develop state-of-the-art NLP models, collaborate with other scientists and engineers, and contribute to publishing research findings. Responsibilities include reading the latest research, creating novel AI solutions, and maintaining a rigorous engineering culture.
As a Senior Data Engineer at Hinge, you will design and optimize data pipelines and products essential for product services, collaborating with cross-functional teams to enhance user experience through data-driven solutions. You will also maintain the analytics data warehouse and support data engineering best practices.
As a Data Engineer III at Hinge, you'll develop and maintain data pipelines and create essential processes that support decision-making. You'll work on data modeling, improve the data engineering stack, and collaborate with teams to ensure accurate data flow, all while contributing to the organization's data-driven goals.
Featured Jobs
As a Senior Software Engineer focusing on Machine Learning, you will develop scalable, fault-tolerant batch and real-time systems to enhance Alloy's fraud detection capabilities, collaborate with cross-functional teams, and deploy machine learning models to support decision-making for clients.
The Senior Information Security Risk Analyst will lead the development of the Information Security Risk Management program, conduct risk assessments, prepare reports for senior leadership, and mentor junior team members.
As a Lead Data Scientist, you will design, develop, and deploy machine learning models to address complex business challenges in fintech. Responsibilities include analyzing data, optimizing model performance, and collaborating with engineering teams.
The intern will apply skills in IT and Data Science to support the Tapestry corporate team in areas including Information Security, eCommerce, and Data Analytics, while gaining hands-on experience in a global luxury brand environment.
As an Associate Value Engineer, you'll consult with customers to identify business challenges and demonstrate solutions using the Celonis platform. You'll modify applications, manage customer relationships, and execute projects to showcase the value of Celonis EMS, while developing your skills in a fast-paced, collaborative environment.
The Data Engineer will build data pipelines and applications, support data and analytics strategies, and automate workflows to enhance data delivery. This role involves engaging with business leaders, utilizing ETL/ELT processes, and collaborating across technology teams to manage data efficiently.
The role involves translating complex financial and product data into insights for executives, establishing performance monitoring systems, conducting analyses, and providing data-driven recommendations for strategic planning. It requires collaboration with the Domains Leadership team and cross-functional teams to drive business growth and optimization.
Top Companies in New York City, NY Hiring Data + Analytics Roles
See All
.jpg)
All Filters
No Results
No Results
