Top Data & Analytics Jobs in New York City, NY
Join the Predict team to enhance Alloy's machine learning fraud capabilities by architecting scalable systems, collaborating with multiple teams, and developing machine learning algorithms. You'll ensure low latency and high availability by managing interfaces between systems and participating in feature generation and on-call rotations.
The Yield and Analytics Specialist plays a critical role in analyzing advertising and media trading performance, developing strategies for yield optimization, and supporting trading operations. Responsibilities include performance analysis, data management, strategy development, risk management, collaboration, and continuous improvement. Qualifications include 2+ years of quantitative analysis experience, proficiency in data analysis tools and programming languages, knowledge of advertising platforms and risk management principles, and strong analytical and communication skills.
As a Sports Statistician, you'll attend sporting events, reporting live action through data collection software while ensuring accurate game statistics. Training will be provided for effective technology use. The role requires reliability, organization, and availability during weekends and evenings, along with a good understanding of sports rules.
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As a Data Journalist at Realtor.com®, you will analyze various housing data sources to uncover trends and insights, write clear articles and visualizations, and collaborate with the editorial team to enhance coverage of the housing market.
As a Senior Machine Learning Engineer, you will lead the design and implementation of ML strategies, mentor engineers, and drive the development of scalable machine learning algorithms across products at Personio. This role requires collaboration with cross-functional teams and the ability to analyze technical problems while ensuring coding standards are maintained.
The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.
The Partnerships role at Pinwheel involves pursuing and negotiating data access partnerships with payroll companies and gig platforms, developing strategy for partner engagement, collaborating with product teams to enhance market access, and building strong relationships to maximize data coverage and quality.
The Data Scientist III (Artificial Intelligence) at Cedar will leverage data science and AI to enhance patient billing clarity and streamline healthcare workflows. This role involves developing datasets, designing AI-powered features, and improving existing models by collaborating across teams to drive business value and differentiate Cedar's offerings.
Lead the Credit Risk Analytics team, focusing on model implementation, development, and analysis. Enhance analytical capabilities with existing tools, mentor junior analysts, and collaborate with various risk teams. Oversee data processing and framework enhancements while implementing new approaches for measuring portfolio credit and market risk.
The Credit Analyst will analyze US leveraged loan borrowers, conduct fundamental credit analysis to produce investment ideas, maintain industry dialogues, train junior analysts, and support legal analysts in credit situations.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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