Top Data Science Jobs in NYC, NY

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.

Join Braze as a Field Data Scientist to collaborate with customers on data integration, build APIs and ML models, and drive customer success.

Drive analytics workflow by deploying advanced data wrangling and visualization techniques for macroeconomic and financial data analysis, communicating trends and insights clearly to stakeholders.

As an AML/Sanctions Data Scientist Manager, you'll lead teams in delivering AI/ML solutions for financial crime detection, mentor junior staff, and enhance client operations through advanced analytics.

Join the Garner Health Intelligence team as a Data Scientist to enhance provider performance metrics, develop algorithms, design data pipelines, and collaborate cross-functionally to drive data-driven solutions for healthcare insights.

The Data Scientist will analyze revenue and category performance in non-US markets, develop insights, build reporting tools, and support strategic decision-making. They will collaborate with various teams to drive growth and improvement while creating forecasts and dashboards.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

As a Staff Data Scientist, you will lead analytics initiatives, mentor teams, develop analytical models, and drive product strategy through data insights.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Data Scientist will leverage AI and NLP technologies to develop scalable solutions and products, collaborating across teams to enhance customer experiences with innovative generative AI applications.

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.

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

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.

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

As a Senior Data Scientist in Sales Operations, you'll architect data foundations, build analytics models, and translate data into actionable insights for strategic decision-making across the organization.

The Senior Data Scientist will analyze data to solve real-world problems, partner with product teams, and influence strategy through data-driven insights.

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 Principal Data Scientist in Consumer Identity ML leads the development of machine learning models to personalize and secure customer experiences, analyzing vast datasets to improve business outcomes. Responsibilities include model creation, partnership with product teams, and advanced statistical analysis.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Data Scientist will analyze customer health, conduct quantitative research, develop insights for teams, and inform strategy based on data analysis.

As a Staff Product Data Scientist, you will analyze product usage, define metrics, derive insights, and influence product strategy and decision-making.

The Scientist II will carry out complex research projects, executing data analyses and communicating scientific findings for biopharmaceutical clients using the Tempus data platform.