Top Senior Level Data Science Jobs in NYC, NY
The Data Operations Specialist will ensure the smooth integration and performance of client API integrations within the DLT application, manage data-related issues, collaborate with teams on smart contract updates, and oversee fund audits.
Lead analytics and survey research for Applecart's client services. Manage data analysts and integrate data science into actionable strategies for clients. Oversee survey development, ensure quality assurance, and adapt methodologies for optimal results.
As a Senior Data Scientist at Grubhub, you will lead efforts in building scalable experimentation processes, define evaluation metrics, conduct analyses, and collaborate with cross-functional teams. Your role involves leveraging the Grubhub Experimentation Platform and delivering data-driven insights for key product decisions, focusing on experimentation and causal inference in the Diner & Fulfillment area.
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The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
The Manager of Data Science Engineering role involves leading data-driven initiatives within Disney Advertising. Responsibilities include managing a team of Data Scientists, overseeing development projects, consulting on architecture best practices, and implementing technical documentation standards. The role requires a strong technical background in data engineering and experience in digital advertising.
Lead Data Scientist role at GoodRx focusing on data science projects around consumer pricing, incentives & offers, and insurance. Responsible for mentoring peers, building forecasting systems, and supporting the technical roadmap.
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CreatorIQ is looking for a Principal Data Scientist to lead machine learning projects using influencer marketing datasets. Responsibilities include leading development, ideation, data engineering, client collaboration, communication, and internal development of data science best practices.
The Staff Data Scientist will train and apply predictive models for drug discovery, collaborating with various teams to solve complex problems and improve data pipelines. Strong communication skills are needed to explain statistical concepts to non-experts and vice versa. The role emphasizes collaboration with scientists and engineers to advance Valo's drug discovery programs.
The Credit Analyst will conduct in-depth credit research to identify investment opportunities across the High Yield market, analyze businesses and capital structures, develop thematic trade ideas, and monitor existing positions while maintaining external relationships for insights on issuers.
The Senior Data Scientist at VideoAmp will develop and implement machine learning algorithms, optimize statistical models, and support data-driven strategies in advertising technology. Responsibilities include analyzing datasets, communicating insights, ensuring data accuracy, and collaborating with engineering teams for model integration. A focus on statistical modeling and machine learning is essential.
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