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

Quantitative Researchers develop predictive models, apply statistical methodologies to financial data, and design frameworks for risk and returns analysis.

Lead the Data Science function to innovate AI-powered identity and compliance solutions, managing a high-performing team and developing advanced ML systems.

Design and build petabyte-scale data pipelines and platform tooling to ingest, transform, catalog, and deliver heterogeneous biological datasets for AI research. Improve reliability, observability, and automation (agent-based curation/QA) while collaborating with AI researchers and scientists.

The AI/ML Data Contributor will perform data labeling and evaluation tasks, follow project guidelines, ensure quality, and provide feedback. This role involves flexibility in task completion and may include both remote and onsite work.

Work with product, engineering, and data teams to generate, label, and evaluate medication-focused datasets, review AI outputs for clinical accuracy, provide SME guidance for product features, ensure safety/compliance, and improve clinical intelligence processes and tooling.

Lead pricing analytics as the first dedicated data scientist on the Pricing team. Design analyses, causal models, experiments, and decision frameworks linking usage, conversion, retention, and revenue to guide pricing, packaging, discounts, and monetization across consumer, SMB, and enterprise segments. Communicate executive-ready recommendations and build a repeatable pricing data science function.

Senior IC for GTM analytics who builds and owns GTM data models, pipelines, and a semantic layer; runs deep analyses on funnel, conversion, forecasting, quota, and retention; partners with product data and engineering to ensure consistent data and operationalized metrics for non-technical stakeholders.

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.

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.

Own end-to-end delivery of customer datasets: gather requirements, build and harden ingestion/transformation/QA/export pipelines, define dataset contracts and quality metrics, query and slice large corpora for model fit, and drive tooling improvements. Serve as technical customer contact and translate ambiguous needs into reproducible, versioned datasets suitable for robotics/embodied-AI training.