Top Artificial Intelligence Data Science Jobs in New York City, NY

First Product Analytics hire to turn customer feedback, usage, and behavioral data into product insights. Build dashboards and reporting, define and track metrics for an agentic AI product, partner with strategy and engineering to inform roadmap and priorities, and establish analytics infrastructure that scales.

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

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

The Senior Data Scientist will lead analytical projects, develop bespoke solutions for clients, manage teams, and present findings to drive client satisfaction and retention.

Design and analyze A/B tests, perform deep-dive analyses to identify product opportunities, build dashboards and predictive models, partner with product and engineering to implement solutions, and establish analytical best practices across the organization.

As an AI/ML Data Contributor, you'll perform data labeling, content evaluation, and user testing to improve machine learning models. Tasks are flexible and may include remote or in-person participation.

As a Data Scientist at Anthropic, you'll support data-driven decisions across the customer lifecycle by defining metrics, analyzing data, and developing statistical models. You'll collaborate with various teams to influence strategies and improve analytics infrastructure.

As a Staff Data Scientist, you will lead data initiatives, partnering across teams to apply statistical methods and improve mental health care outcomes by translating data into actionable insights.

Lead the evolution of Unity's Ads Experimentation platform by bridging advanced statistical methodologies with engineering to optimize ad delivery and model validation.

As a Data Scientist, you'll bridge cutting-edge AI models with real-world applications, driving experimentation, customer success, and education while showcasing TFM value through PoCs and workshops.