Top Data Science Jobs in NYC, NY

As the Manager of Data Scientist for Generative AI Systems, you will train and customize large language models for applications such as dialogue and image processing. Collaborating with a cross-functional team, you will leverage various technologies to extract insights from large datasets and contribute to research for top NLP conferences.

As a Principal Associate, Data Scientist in Fraud Intelligence, you will build and manage machine learning models, leverage technologies such as Python and AWS to analyze data, and work with a cross-functional team to protect customers from fraud.

As a Data Scientist III at Cedar, you will leverage AI to develop features that enhance patient billing clarity and streamline healthcare workflows. Responsibilities include creating curated datasets, designing AI solutions, and collaborating across teams to drive business value through data insights.

As a Lead Data Scientist, you will develop and optimize models to identify credit risk, predict customer churn, and improve retention and marketing spend efficiency. You will leverage rich data to enhance financial services for underserved customers and collaborate closely with Product and Engineering teams.

The Principal Data Scientist at Zocdoc will focus on developing machine learning models for their Provider Recommendation System, collaborate with various teams, and lead a team of data scientists. Responsibilities include applying advanced statistical techniques, analyzing data, and mentoring team members to optimize product performance and data strategies.

The Staff Data Scientist will design and deploy statistical and machine learning models to solve complex business problems, conduct exploratory data analysis, and collaborate with cross-functional teams to develop actionable insights influencing strategic decisions. They will stay updated with advancements in data science, optimize model performance, and communicate findings effectively to stakeholders.

The Data Scientist will model RSSI-BLE signals, analyze real-time sensor data, improve accuracy using machine learning, collaborate on analytics-driven solutions, and enhance product features to drive operational efficiency in healthcare organizations.

The Senior Data Scientist will develop and implement advanced machine learning models for risk management, focusing on fraud prevention and customer longevity. Responsibilities include managing end-to-end data science projects, collaborating with cross-functional teams, and establishing model governance and monitoring systems.

The Staff Data Scientist will lead initiatives that leverage data science to optimize operations, focusing on projects involving AI and machine learning. Responsibilities include overseeing the model lifecycle, conducting A/B testing, mentoring team members, and collaborating with stakeholders to drive data-driven solutions that enhance business performance.

As a Senior Data Scientist, you will develop and deploy machine learning models to drive business decisions, mentor junior scientists, and design data products. You will collaborate with other teams and focus on model monitoring, validation, and implementing best practices in data science.

As the Ads Data Scientist at Quizlet, you will partner with various teams to build an amazing ads product, analyze A/B test experiments, and provide data-driven product decisions. This hybrid role is based out of Los Angeles, New York, and San Francisco.

As a Data Scientist at HUMAN, you'll work on detecting bots and fighting fraud by developing algorithms and utilizing statistical and machine learning techniques. You'll collaborate with Product, Engineering, and Analysts, supporting the full cycle of fraud fighting from initial research to deployment of detection techniques, while also leading projects and contributing to the growth of data science standards.

As a Senior Data Scientist at HUMAN, you'll research and develop algorithms for fraud detection and bot prevention, working closely with Product and Engineering teams to enhance security measures. Your role will involve statistical analysis, machine learning implementation, and system monitoring to identify and resolve anomalies in fraud detection.

The Data Scientist will identify new data sets, engage with vendors, build tools for data processing, analyze datasets, research alpha signals, and enhance data management infrastructure while collaborating closely with Portfolio Managers.

As a Growth Data Scientist at Quizlet, you will drive business insights through data, develop analytical frameworks, partner with product and engineering teams, conduct A/B testing, present insights to the company, and improve the way success is measured.

As a Staff LLM Data Scientist at TIFIN, you will design and enhance LLMs for diverse tasks, build advanced RAG pipelines, implement evaluation frameworks, and deploy models in production while collaborating with product and software engineering teams to drive impactful results.

As a Staff Data Scientist at Enigma, you will lead efforts in translating customer goals into innovative data solutions using machine learning and statistics. You will work collaboratively to improve data accuracy, develop anomaly detection techniques, and validate results against real-world data, contributing significantly to the product's development.