Top Financial Services Data Science Jobs in New York City, NY

As a Senior Data Scientist, you will develop predictive models, conduct EDA, collaborate cross-functionally, and drive data-driven decisions.

As a Data Scientist, you'll leverage machine learning technologies to derive insights from large datasets and build models for AI-powered products.

As a Data Scientist, you will build fraud detection models, collaborate with cross-functional teams, and leverage technologies to analyze vast datasets.

As a Data Scientist, you'll collaborate with cross-functional teams to build machine learning models and analyze large datasets to deliver valuable insights for the business.

The Vice President, Data Scientist Lead will shape JPMC's AI strategy by modernizing data analysis with ML and NLP, developing tools, collaborating with teams, and enhancing data governance.

Analyze complex datasets and build predictive models. Collaborate with teams to derive insights from data and improve business processes.

The Head of Data Science will manage and grow a team of data scientists, mentor team members in modeling, and collaborate with product and engineering teams for data-driven solutions.

Manage data analysts and scientists focused on payments products and compliance. Responsible for data analytics, team growth, and cross-functional partnerships.

Lead a data science team focused on customer service excellence, utilizing analytics and machine learning to drive optimization and improve user experiences at Coinbase. The role emphasizes partnership across departments to enhance metrics and frameworks.

Lead a team of data scientists, guiding analytical systems design, ensuring data quality, and collaborating with stakeholders to drive data-driven investment strategies.

As a Data Science intern, you'll conduct research using data mining and statistical modeling, collaborating with teams to analyze large datasets and provide insights for investment decisions.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.

The Data Scientist I role involves data modeling, analytical framework development, use of statistical and econometric methods, and communicating findings to management.