Top Data Scientist Jobs in NYC, NY

As a Senior Data Scientist, you will design algorithms for search and ranking, leverage NLP for query understanding, conduct experiments, and mentor peers.

As a Data Scientist at Jerry, you'll leverage machine learning models to extract insights, partner with cross-functional teams, and drive data-led decisions across business initiatives.

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 Data Scientist will analyze media buying data, develop analytical models, collaborate with teams to translate business needs into data-driven solutions, and improve media strategies using advanced techniques.

Responsible for GTM analytics and insights, building predictive models, developing dashboards, and collaborating with teams to drive data-informed business decisions.

Lead data science initiatives focusing on risk optimization using advanced analytics and machine learning to minimize losses and enhance performance.

The intern will contribute to Generative AI applications in healthcare, prototyping solutions, experimenting with prompt engineering, and validating new use cases.

The Staff Data Scientist will analyze data to drive business growth at Slack, develop forecasting models, and support decision-making through insights.

Momenti seeks a Data Scientist to analyze user gesture data and improve content interaction. Responsibilities include developing data pipelines and visualizing user behavior insights.

The Data Scientist will analyze customer data, build performance metrics, drive product improvements, and partner with diverse teams to ensure reliable fraud detection systems.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The role involves designing Agentic AI solutions, applying LLMs and NLP to unstructured data, and collaborating on scalable AI applications.

The role involves building data pipelines, developing machine learning models, and improving actuarial and finance functions, collaborating with various teams.

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

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

As a Staff Product Data Scientist, you will analyze product usage, define metrics, derive insights, and influence product strategy and decision-making.

As a GTM Data Engineer, you will design data frameworks to drive customer engagement, identify opportunities, and enhance product adoption using data insights.

The applied data scientist will design and automate red teaming strategies, develop evaluation frameworks, and run adversarial testing initiatives for AI safety goals while coordinating with various teams.

As a Data Scientist, you'll analyze complex datasets, collaborate with teams to derive insights, and validate strategies through quantitative research in financial markets.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

The role involves analytics for loan data, financial modeling for ABS deals, and collaboration with teams for data-driven decision making.

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

The Lead Data Scientist will develop marketing analytics solutions, collaborate with clients and teams, and utilize machine learning to optimize strategies.

Design and prototype intelligent systems for observability, lead reinforcement learning applications, collaborate with cross-disciplinary teams, and explore AI-driven paradigms.