Top Principal Data Scientist Jobs in NYC, NY

The Principal Data Scientist will develop frameworks for measurement, attribution, and performance optimization, analyze large datasets, and work cross-functionally to enhance advertiser performance across Universal Ads.

The Principal Data Scientist will develop machine learning models to analyze customer behavior, enhance customer experiences, and improve fraud detection using extensive datasets and advanced statistical techniques.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

Lead a team of data scientists to develop AI/ML solutions, leveraging advanced technologies for customer interactions and product innovations. Build and implement NLP models for large-scale applications while collaborating with cross-functional teams.

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

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

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.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

As Principal Data Scientist - NLP, you will lead AI-powered product development using NLP and LLMs, collaborating with cross-functional teams to enhance customer experiences and operationalize machine learning models.

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 collaborating with data scientists and engineers to build machine learning models, analyzing data, and translating findings into business solutions.

The role involves partnering with teams to deliver AI products, leveraging technologies for insights, and building machine learning models, focusing on NLP and LLMs in a production environment.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

The role involves leveraging advanced machine learning technologies to create models, collaborating with teams, and translating complex methodologies into business goals.

Lead and manage data science projects to develop models for risk assessment and fraud detection while mentoring junior analysts and designing data processes.

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.

Lead AI powered product development by collaborating with teams to apply LLMs and NLP, leveraging technology for data insight extraction and operationalizing models.

Lead AI and data science initiatives, mentor teams, engage stakeholders, and translate complex business challenges into AI solutions while ensuring integration and responsible practices.

The Principal Data Scientist will lead the Ads Data Science team at Reddit, optimizing advertising strategies through advanced statistical methods and machine learning, while collaborating with multiple teams to influence key business decisions.

The role involves developing fraud protection models for Business Cards and Payments by analyzing data, collaborating with teams, and implementing machine learning solutions.

Seeking a Principal Data Scientist to guide AI innovation and develop responsible, interpretable AI systems to improve healthcare outcomes. Lead collaboration with teams to integrate AI into business systems, ensuring compliance and effectiveness in healthcare applications.

Lead machine learning efforts to enhance customer onboarding and product adoption through data analysis, model development, and cross-functional collaboration.

As a Principal Associate Data Scientist, you'll develop machine learning models for credit card customer acquisitions, leveraging vast datasets and working collaboratively with cross-functional teams to deliver impactful solutions.

As a Principal Data Scientist, you will lead statistical and machine learning initiatives, influence modeling strategies, and drive impactful research for the insurance industry while collaborating across functions.

The Principal Data Scientist will lead marketing measurement strategies, develop attribution models, optimize existing systems, and mentor team members to enhance data science capabilities.