Top Principal Data Scientist Jobs in NYC, NY

As a Principal Associate, Data Scientist, you will leverage machine learning and generative AI to analyze large sets of data, collaborate with cross-functional teams, and develop customer-facing applications that improve customer experiences and operational efficiencies.

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 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 Data Scientist, you will partner with a team to build machine learning models to combat fraud. You will leverage various technologies to analyze large datasets and develop solutions, translating complex data into actionable business insights.

As a Principal Associate Data Scientist at Capital One, you will utilize your analytic and technical skills to create and maintain data-driven solutions that address business problems, particularly in Card underwriting. You will analyze credit bureau data, present findings to stakeholders, and contribute to data monitoring infrastructure.

The Principal Associate, Data Scientist will collaborate with cross-functional teams to develop machine learning models for customer management. Responsibilities include leveraging technologies to analyze data, model building, and translating complex findings into business goals. This position involves ownership of the full model lifecycle, from development to deployment and monitoring.

The Data Scientist will lead the development of data science solutions, manage data integration for the asset management platform, engage stakeholders, and communicate insights through data visualization. The role requires transforming large data sets into actionable insights, managing projects end-to-end, and fostering digital adoption and AI solutions within the team.

As a Principal Associate, Data Scientist at Capital One, you'll lead the development of machine learning models to support credit card customer acquisition and management. Collaborate with data engineers and product managers to deliver innovative data solutions while leveraging a wide array of technologies. You'll be responsible for designing robust statistical models and managing vast customer data to enhance decision-making capabilities.

As a Senior Manager of Data Science, you'll lead a team that utilizes transaction data and machine learning to enhance customer experiences. Responsibilities include building scalable machine learning models, collaborating with cross-functional teams, and mentoring data scientists to achieve business goals.

As a Manager of Data Science at Capital One, you will partner with a cross-functional team to deliver data-driven products, leveraging machine learning and large-scale data analysis. You will build machine learning models, translating complex data insights into achievable business goals.

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.

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.

The Data Science Manager will develop care navigation algorithms and analytics, manage a team of data scientists and analysts, and run the Garner-wide Data Science Guild. The role requires leadership and hands-on involvement to support the company's mission in transforming the healthcare system.

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.

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.