Top Data Science Jobs in NYC, NY

As a Manager in Data Science, you will lead a team to develop AI/ML solutions for personalized customer experiences, utilizing machine learning models and a variety of statistical and analytical techniques to derive insights from large datasets.

The Summer IT & Data Science Intern will gain hands-on experience within Tapestry's corporate team, focusing on IT/Data Science/Analytics. Responsibilities include working in Information Security, eCommerce, and Data Science, while applying skills in communication and familiarity with various technologies and networking systems.

As the Head of Data & AI, you will provide strategic insights on AI innovation, develop robust data infrastructure, oversee AI models, and lead a team of data professionals. Your role involves staying updated on technology trends, enhancing user engagement through data, and ensuring ethical AI practices.

The Manager of Data Science Analytics is responsible for leveraging advanced analytics to drive growth across Tapestry's brands. This role involves consulting with cross-functional teams, performing large-scale data analyses, translating data insights into actionable strategies, and developing visualizations. The individual will work closely with data engineers and the data science team to innovate analytics tools and present findings to leadership.

The Senior Manager, Data Science will lead a team in delivering AI-powered products that improve developer experiences using generative AI. Responsibilities include partnering with data scientists and engineers by leveraging technologies to build and operationalize NLP models and enhance software development lifecycles.

As a Principal Data Scientist on the Recommendation & Personalization Team, you will develop AI/ML solutions that deliver personalized experiences for customers. You will leverage a variety of technologies to build machine learning models and collaborate with cross-functional teams to achieve business goals. The role involves researching and applying emerging technologies in data science.

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.

As a Principal Associate Data Scientist in the Model Risk Office, you will leverage cutting-edge technologies and statistical modeling to enhance decision-making and mitigate model risks. You will collaborate with a diverse team to build machine learning models, analyze large datasets, and drive impactful business outcomes.

The Data Scientist will leverage AI and ML techniques to analyze financial information, design scalable data processing pipelines, and provide predictive forecasts for investment opportunities within the US Equity portfolios at J.P. Morgan Asset Management.

As a Senior Data Scientist, you'll collaborate with cross-functional teams to develop state-of-the-art AI/ML solutions that enhance customer experiences. You'll leverage big data and diverse programming languages to build and implement machine learning models aimed at personalizing recommendations and optimizing digital interfaces.

As a Senior Data Scientist in AI Foundations, you will collaborate with interdisciplinary teams to develop AI-powered products that enhance customer interactions and experiences. Your key responsibilities include building and optimizing machine learning and NLP models, leveraging various technologies, and translating complex analyses into actionable business insights.

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.

As a Manager, Data Scientist on the Application Fraud Team, you will lead efforts to prevent application fraud through machine learning models. This involves collaborating with data scientists and engineers, utilizing technologies such as Python and AWS, and translating complex analyses into actionable business insights.

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.

As a Senior Associate Data Scientist, the role involves partnering with a team to develop machine learning models and insights from large datasets, focusing on customer needs and innovative solutions. Candidates should have experience with data analytics, open-source programming, and machine learning.

The Principal Associate, Data Scientist will collaborate with cross-functional teams to build machine learning models and analyze large datasets to derive insights that enhance customer experience. Responsibilities include product delivery, partner collaboration, and driving innovation in data-driven decision-making processes.

As a Manager Data Scientist at Capital One, you'll lead a team focused on developing generative AI solutions for data analysis to inform financial lending decisions. Your responsibilities will include collaborating across teams, managing data annotation projects, fine-tuning large language models, and utilizing various technologies to optimize data insights.