Top Data Science Jobs in NYC, NY

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.

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.

The Staff Data Scientist at Aircall will lead initiatives that leverage data science and AI to optimize operations across marketing, fraud prevention, and call quality. Responsibilities include model design, training, execution of A/B tests, and mentoring team members. The role involves collaboration with engineers and stakeholders to enhance the AI platform and ensure best practices in data governance are followed.

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 Manager of Data Science, you will lead a team in building machine learning models to enhance customer management decisions, work with cross-functional teams, and leverage various technologies to analyze large datasets and drive insights for the financial sector.

The Data Scientist will analyze data, build machine learning models, and work with cross-functional teams to enhance decision-making at Capital One.

As a Data Scientist, you will develop and implement machine learning models, collaborate with cross-functional teams, and analyze complex data for customer benefits.

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.

The Manager, Data Science - Consumer Identity Machine Learning at Capital One will lead the development of machine learning models to personalize customer experiences. Responsibilities include exploring clickstream data, developing predictive models, and partnering with product teams to improve business outcomes. The role entails working with massive data sets, ensuring accuracy, and enhancing operational efficiencies.

The Data Science Manager will lead a team in developing customer matching models and entity resolution systems. Responsibilities include collaborating with cross-functional teams to deliver customer-focused products, leveraging a broad technology stack, and managing the full lifecycle of machine learning models from design to implementation.

The Director of Data Science and Credit Risk will lead a team to develop and implement advanced credit risk models, optimize risk management strategies, mentor junior analysts, and contribute to research efforts related to lending and AI within the fintech space.

As a Data Science Manager at ZS, you will lead the development lifecycle of innovative AI/ML products, engage with clients, and manage cross-functional teams. You will be responsible for shaping strategic areas including AI, guiding research and design, and mentoring talent within the organization.

Lead data and AI strategies, drive innovation through technology, and oversee the development of AI models to enhance user experiences. Manage a high-performing team while ensuring ethical AI practices.

As a Data Scientist, you will develop machine learning models, collaborate with cross-functional teams, and drive data-driven decisions at Capital One.

The Lead Data Scientist at Stellar Health will take ownership of impactful projects focused on measuring and optimizing healthcare outcomes. Responsibilities include preparing high-quality datasets, performing analyses, building production-ready models, collaborating across teams, and driving the mission of reshaping healthcare systems.

Lead the development and deployment of machine learning models for risk underwriting in financial products while mentoring data science teams.

As a Senior Associate in AI & GenAI Data Science at PwC, you will utilize advanced analytical techniques on large datasets to support business decisions, develop AI solutions, engage with clients, lead teams, and enhance technical expertise. Responsibilities include collaboration on client problems, AI solution architecture, and data processing for LLMs.