Top Entry Level Data Science Jobs in New York City, NY
The Revenue Operations Analyst will enhance advertising campaigns through data-driven insights, create pacing reports, review proposals and inventory, and optimize live campaigns for client KPIs in the Health and Finance vertical.
As an Applied AI Scientist at ZS, you will develop advanced algorithms for complex problems, execute statistical techniques on large datasets, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
This role involves partnering with cross-functional teams to deliver AI-powered products, leveraging technologies to analyze large data sets, building AI foundation models, and engaging in applied research to enhance customer experiences. Strong interpersonal skills are necessary to translate complex work into business goals.
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Grubhub is seeking a Data Scientist to work in the Discovery and Ads teams, focusing on providing high-quality merchant recommendations and ads. Responsibilities include creating and validating models, proposing algorithmic approaches, designing A/B tests, and driving technology best practices. The role involves collaboration with data scientists, engineers, and product teams to improve recommendations and search functionalities. The Data Scientist will also analyze user engagement and business performance through data-driven insights.
The Data Analyst will support the Engineering team by developing analytical processes and tools, collaborating with various departments, creating visualizations for business performance, and assisting in anomaly investigations to inform data-driven decisions.
Seeking a Data Scientist to contribute to advocacy efforts by exploring, collecting, analyzing, and presenting data. Responsible for tracking legislative impact, conducting qualitative analyses, and educating stakeholders on policy significance.
The Market Data Specialist will maintain and improve the market data feed infrastructure, troubleshoot live issues, coordinate with exchanges and vendors, and collaborate with technology teams. Responsibilities include infrastructure maintenance, debugging tools enhancement, and ensuring data quality for clients.
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