Top Senior Level Data Science Jobs in NYC

Seeking applied algorithms researchers with experience in quantum-inspired or randomized algorithms for optimization and machine learning. Opportunity to work on cutting-edge research projects in collaboration with a leading financial institution.

Empower data-driven decision-making in the full lifecycle of product development for Square's Food & Beverage team. Use descriptive and predictive analytics, statistics, and machine learning to provide insights to sellers and drive strategic decisions. Collaborate with cross-functional partners and communicate analysis to executives.

Seeking a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, managing core operational metrics, advising senior stakeholders, and building processes to identify and prevent high-risk activity. Must diagnose problems, design experiments, develop data pipelines, partner with cross-functional teams, experiment with machine learning tools, and develop executive presentations.

Seeking a Senior Advertising Data Scientist at Philo to work on ad auction and placement optimization problems, lead the team in balancing monetization and quality of experience, and build data solutions for the streaming service. Responsibilities include modeling, running experiments, analyzing customer value, and market research.

Join a world-class Data Science team to drive insights about products and customers, collaborate on product and business problems, apply technical expertise, shape product development, and communicate insights to leadership teams.

As the first Research Scientist - Economist at Rokt, you will play a pivotal role in shaping economic strategies, impacting marketplace policies, auction logic, and machine learning model development. Analyze network dynamics, advertising performance, and refine auction models to optimize the internal economy.

Design data-driven strategies for business-facing products, provide guidance on data science capabilities, collaborate with teams to shape product development, communicate data science concepts to stakeholders.