Top Data Science Jobs in NYC, NY

As a Data Scientist at Capital One, you will partner with diverse teams to build machine learning models, utilizing advanced technologies to derive insights from data and deliver impactful products.

As a Senior Data Scientist, you'll leverage technology to develop machine learning models, analyze data, and deliver impactful business insights in a collaborative environment.

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

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.

Lead Data Scientist responsible for designing and developing ML systems, statistical analysis, data cleaning, and model deployment for business solutions.

The Senior Data Scientist will enhance provider data insights, develop algorithms, collaborate with teams, and mentor members in a healthcare-focused environment.

The Senior Customer Data Scientist will partner with customers to enhance their experimentation capabilities, guide statistical designs, and support analytical needs, ensuring effective adoption of Datadog's tools.

As a Staff Data Scientist, you'll analyze and enhance search and ranking systems for mental health provider matching, collaborating with cross-functional teams to improve patient access to care.

The Data Scientist will develop models and algorithms for matching workers with shifts and optimizing pricing, collaborating closely with cross-functional teams.

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

The Senior Data Scientist will drive business strategy with predictive insights, collaborate with teams for analytics solutions, and promote a data-driven culture.