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Top Data Science Jobs in NYC, NY
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As a Data Science Manager, you'll lead the development of healthcare navigation algorithms, manage a team of 4-6 data scientists and analysts, and oversee Garner's Data Science Guild, contributing to the transformation of the U.S. healthcare system.
The intern will apply skills in IT and Data Science to support the Tapestry corporate team in areas including Information Security, eCommerce, and Data Analytics, while gaining hands-on experience in a global luxury brand environment.
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 Senior Healthcare Data Scientist at Particle Health will analyze healthcare data, develop insights, and lead efforts in data product creation. Responsibilities include collaborating with product and engineering to refine analytics strategies, identifying key outcomes in patient-level data, and contributing to AI and NLP initiatives.
As a Principal Associate in Data Science at Capital One, you'll leverage generative AI, deep learning, and machine learning to extract insights from multi-modal data sources such as text, images, and audio. You'll manage data annotation projects, fine-tune large language and multi-modal models, and collaborate with various teams to enhance customer experiences.
As a Principal Data Scientist, you will lead data-driven projects in commercial banking, leveraging machine learning and data analysis to improve practices. You will work collaboratively, utilizing vast datasets and modern technologies to derive insights that drive crucial business decisions.
The Data Science Lead in Asset Management will enhance the investment process by utilizing machine learning and data science techniques. Responsibilities include collaborating with stakeholders, developing NLP/ML solutions, training datasets, and deploying models. A focus on continuous learning and application of advanced techniques is emphasized to improve decision-making and operational efficiency.
The Senior Associate in Data Science focuses on applying generative AI technologies to analyze customer data across various formats. Responsibilities include utilizing transformer models for data analysis, managing data annotation projects, collaborating with business stakeholders, and optimizing machine learning pipelines with engineers.
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The Manager of Data Science at Disney Streaming will lead machine learning initiatives, manage the lifecycle of ML development, drive data exploration and insights, perform data storytelling, and foster strategic collaborations. They will oversee a team of data scientists to enhance customer journeys and business metrics through data-driven solutions.
In this role, you will partner with a cross-functional team to leverage data and technologies to derive insights and build machine learning models for commercial banking applications. You will work on innovative data-driven solutions to improve various banking processes.
The Senior Manager, Data Science will lead a team that builds machine learning models and data analytics solutions to support credit underwriting and product strategies. The role involves collaboration with data scientists, software engineers, and product managers to deliver insights from large datasets to enhance customer experiences.
As a Staff Data Scientist, you will design, implement, and scale features at Datadog, focusing on delivering high-impact solutions while mentoring junior data scientists. Your role involves the complete data science lifecycle, collaborating closely with engineers and stakeholders to innovate and enhance data science methodologies and practices.
As a Senior Associate Data Scientist at Capital One, you will build machine learning models and collaborate with a cross-functional team to translate data insights into business objectives. The role focuses on regulatory compliance, risk management, and utilizing large datasets for meaningful analysis.
The Manager of Data Science role involves leading a team that develops and deploys predictive models for consumer credit risk management using a variety of technologies. Responsibilities include collaborating with data scientists, software engineers, and product managers, optimizing model pipelines, and translating complex analyses into tangible business outcomes.
As a Manager of Data Science, you will lead a cross-functional team to create AI/ML solutions for personalized customer experiences using large datasets. Responsibilities include model development, leveraging various technologies, and translating complex data insights into business goals.
As a Data Science Manager at Capital One, you will develop advanced machine learning solutions targeting customer behavior prediction and valuation forecasts. Responsibilities include building model pipelines, managing existing models, and translating data science solutions into business outcomes through collaboration with cross-functional teams.
As a Data Science Associate, you will develop AI-driven models and cost-based analytics solutions, enhancing efficiency in business processes. You'll collaborate on projects that integrate data science and business expertise, utilizing tools like Python and Tableau to create data pipelines and dashboards that support insights and decision-making.
As a Senior Associate Data Scientist at Capital One, you will build and analyze models using Natural Language Processing and Computer Vision to improve customer servicing applications. You will collaborate with data scientists and engineers for machine learning model development and engage with stakeholders to create data-driven solutions.
As a Principal Data Scientist on the AI Training Team, you will partner with cross-functional teams to build AI-powered products, leverage technologies, and analyze large datasets. Responsibilities include model building, benchmarking, and deploying applications while translating technical complexities into business outcomes.
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.
As a Principal Associate Data Scientist at Capital One, you will collaborate with cross-functional teams to build machine learning models to prevent application fraud. Your role entails utilizing various technologies to analyze large datasets, design models, and translate complex data insights into actionable business objectives.
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 Principal Data Scientist, you'll be part of a cross-functional team developing AI/ML solutions for personalized customer experiences. Responsibilities include building machine learning models, analyzing data, and collaborating with engineers and product managers to deliver insights that enhance financial decision-making for customers.
The Principal Associate, Data Scientist - Card Partnerships at Capital One focuses on developing prototype next-generation Card risk models. Responsibilities include leveraging a wide array of technologies to analyze data, creating machine learning models, and collaborating with teams to achieve business goals.
As a Principal Associate Data Scientist at Capital One, you will develop and maintain data solutions, create features from bureau data, analyze credit bureau data, and present insights to senior leadership, while building partnerships with stakeholders.
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