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Top Remote Data Science Jobs in NYC, NY
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The Head of Data & AI will provide strategic insights on AI product innovation and data strategy while developing a robust data infrastructure. They will oversee the implementation of AI models, promote ethical AI practices, build a data team, and represent the company in industry discussions.
The Sr. Data Scientist will leverage data and AI to enhance Cedar’s patient payment solutions, focusing on developing AI features that improve patient experience and drive business value. Responsibilities include data understanding, feature development, evaluation frameworks, collaboration with engineering and product teams, and technical leadership in AI projects.
The Data Scientist will evolve product databases, forecast demand trends, develop solutions for analytic problems, and visualize results. Responsibilities include maintaining data quality, collaborating with teams, analyzing data for business decisions, and contributing to capacity planning models.
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As a Staff Data Scientist, you will collaborate with product teams to develop and deploy AI solutions, focusing on large language models. Key responsibilities include building scalable AI systems, conducting rigorous model evaluations, implementing best practices, and mentoring developers. You will drive impactful AI-driven enhancements across the organization.
The Director of Data Science will lead the Machine Learning team, develop ML vision and strategy, guide product development, mentor data scientists, and foster a collaborative culture while ensuring the delivery of high-quality work.
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The Senior Healthcare Data Scientist will build data-driven algorithms to enhance healthcare navigation, assess doctor performance, and contribute to healthcare insights. This role also requires developing an understanding of healthcare economics through analysis and research.
As a Lead Data Scientist at Brigit, you will be responsible for creating and refining predictive models to enhance financial services for clients. Your key tasks will include assessing credit risk, optimizing marketing strategies to predict customer lifetime value (LTV), reducing churn, and collaborating with product and engineering teams on analytics initiatives.
The Senior Analyst in Marketing Science & Analytics will evaluate and optimize marketing investments, develop campaign insights to inform future strategies, and ensure effective measurement of marketing spend across channels. This role involves collaboration with marketing and analytics teams to provide actionable insights and regular performance reporting.
As a Senior Analyst in Marketing Science & Analytics, you will analyze marketing performance, develop insights, promote experimentation, and work closely with marketing and analytics teams to enhance measurement strategies for effective campaign outcomes.
As a Senior Data Scientist, you will lead the development and deployment of machine learning models for business optimizations, collaborating cross-functionally to deliver impactful data products and solve real-world problems. Your role involves using problem-solving skills and computational experience to support and drive business operations effectively.
Top Companies in NYC, NY Hiring Remote Data Scientists
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