Top Principal Data Scientist Jobs in NYC, NY

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

As a Principal Data Scientist, you'll innovate and develop machine learning models, analyze vast data, and work with cross-functional teams to deliver valuable customer products.

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.

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

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

This role involves developing detection systems for game security, establishing metrics for community safety, and mentoring junior team members in analytics best practices.

As a Data Scientist, collaborate with teams to build machine learning models using large datasets, translating complex analyses into actionable insights for customer-centric products.

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.

Lead LLM customization efforts: design, train, fine-tune, evaluate, and operationalize NLP and LLM solutions at scale. Partner cross-functionally to deliver production-ready AI features using state-of-the-art tools and cloud infrastructure.

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.

The role involves leveraging advanced machine learning techniques to analyze cash flow and transaction data, developing predictive models, and collaborating with a cross-functional team to drive customer-focused solutions.

As a Principal Associate Data Scientist at Capital One, you will develop generative AI-based solutions, collaborate with cross-functional teams, and build machine learning models to derive insights from large data sets.

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 Data Scientist collaborates with teams to develop AI solutions using large language and visual models for data-driven decision-making in customer services.

The role involves developing and deploying personalized recommendation engines using advanced ML techniques, while collaborating with cross-functional teams to drive impactful customer experiences.

As a Principal Associate Data Scientist, you'll build machine learning models, collaborate with cross-functional teams, and drive data insights to improve business decisions.

As a Principal Associate, Data Scientist, you will lead fraud detection strategies using machine learning and collaborate with cross-functional teams to enhance fraud models and deliver innovative solutions.

Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.

Lead analytics for claim decisioning by framing ambiguous problems, building scalable data models and pipelines, designing metrics, and deploying analytical and ML solutions. Partner cross-functionally to measure decision quality, operational performance, and payment accuracy, iterating quickly to deliver measurable impact.

As a Principal Associate Data Scientist, you'll build AI and machine learning models to analyze data, partner with teams, and deliver impactful products.

As a Principal Associate Data Scientist, you will develop credit underwriting models using machine learning and statistical methodologies, collaborate with cross-functional teams, and contribute to innovative modeling practices.

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.

As a Data Scientist, you will collaborate with data scientists and engineers to develop machine learning models, leveraging advanced technologies to extract insights from large datasets and drive business decisions.

The Principal Data Scientist will analyze complex datasets, collaborate with teams to define metrics, mentor junior staff, and communicate insights to enhance Zillow Rentals' products and strategy.