Top Data Science Jobs in NYC, NY

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.

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 Director of Data Science role at Capital One involves leading a team to build data pipelines and machine learning models, leveraging technologies like Python and AWS to derive insights for improving customer financial decisions.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

The Data Scientist will collaborate with teams to develop AI features, build ML models, and translate complex data insights into business goals, leveraging technologies like Python and AWS.

The Senior Data Scientist will lead the development of personalization algorithms, collaborate cross-functionally, build data pipelines, and optimize machine learning models.

The Senior Data Scientist will leverage data insights to drive growth in lending, foster AI integration, and mentor colleagues while ensuring high-quality data reporting and visualization.

The Data Scientist role involves applying statistical and machine learning techniques to mobile performance data, collaborating with teams, and translating business problems into data-driven solutions.

Data Scientist needed to analyze customer interactions, optimize product analytics infrastructure, ensure data quality, and generate insights using classical and LLM methods.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

Design, build, and maintain data analytics and ML solutions to support CRM, marketing, demand planning and business strategy. Query large datasets, develop and test machine learning models, perform quantitative analysis, and deliver actionable insights and visualizations to drive data-driven decisions.

The Senior AI/ML Data Scientist drives strategic data initiatives, designs advanced predictive models, analyzes large datasets, and mentors other data scientists while collaborating cross-functionally to influence product design and implementation.

Lead data science projects to optimize drug development, develop AI models for clinical trials, and collaborate with teams on biomedical workflows.

As a Principal Data Scientist at Gusto, you will lead data-driven strategies in payments, collaborate with engineering teams, drive A/B testing, develop predictive models, and build AI-native data products, ensuring data integrity and influencing business decisions.

The data scientist will optimize credit and marketplace products using machine learning, create algorithms, analyze experiments, and manage ML infrastructure.

The Data Scientist will design and implement causal inference models for underwriting and portfolio management, create algorithms for credit pricing, and lead ML infrastructure projects.

The Principal Data Scientist will partner with a cross-functional team to build machine learning models, leveraging various technologies and translating complex data insights into business goals.

As an Applied Data Scientist, you will develop credit models and predictive systems for Clair’s products, utilizing machine learning and statistical modeling while collaborating with cross-functional teams to optimize credit decisions.

The Data Scientist will work on building scalable data products for Spotify Advertising, focusing on causal inference, experimentation, and optimization. Responsibilities include partnering with teams to generate insights, managing data pipelines, and producing actionable recommendations for advertisers.

This Data Scientist role involves analyzing subscriber behavior, designing experiments, building dashboards, and collaborating with cross-functional teams to drive growth in Spotify's subscription offerings.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

We're looking for a Senior Data Scientist focused on product analytics who will define metrics, build dashboards, create analytical models, and develop forecasting models to support product and engineering teams.

The Data Scientist AVP will analyze data, build models, create dashboards, and provide actionable insights to improve business operations and decision-making.

The Senior Data Scientist for Marketing will analyze data, develop predictive models, and provide insights to drive marketing decisions at Rockstar Games.