Top Principal Data Scientist Jobs in NYC, NY

As the Manager of Data Science, you'll lead a team focused on deploying and optimizing predictive models for consumer credit risk management. This role involves leveraging machine learning technologies and working collaboratively with data scientists, engineers, and product managers to translate complex analyses into actionable business insights.

As a Senior Data Scientist at Capital One, you will lead projects focusing on emerging machine learning technologies, conduct research on self-supervised learning and build customer behavioral models. You'll work throughout the data science lifecycle, operationalizing machine learning models and collaborating with various teams to enhance customer experience and business outcomes.

As an Applied AI Scientist at ZS, you will develop advanced algorithms for complex problems, execute statistical techniques on large datasets, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership by researching and publishing on evolving topics.

The Data Science Lead in Asset Management will enhance the investment process by utilizing machine learning and data science techniques. Responsibilities include collaborating with stakeholders, developing NLP/ML solutions, training datasets, and deploying models. A focus on continuous learning and application of advanced techniques is emphasized to improve decision-making and operational efficiency.

As a Manager of Data Science, you will lead a cross-functional team to create AI/ML solutions for personalized customer experiences using large datasets. Responsibilities include model development, leveraging various technologies, and translating complex data insights into business goals.

Lead a team of data scientists in developing machine learning models to enhance subscription and monetization strategies across Disney's streaming platforms. Collaborate cross-functionally to analyze data, derive insights, and translate findings into actionable business strategies, while mentoring team members to foster a learning environment.

As a Senior Data Scientist, you will work on various projects involving the fine-tuning, training, and deployment of large-scale language models. You will collaborate with engineers and data scientists to enhance the Datadog platform, develop AI-driven features, and participate in AI research initiatives while maintaining robust infrastructure and providing data insights.

The Data Science Manager will develop advanced machine learning solutions for customer management valuation, maintaining model pipelines and translating data science outcomes into business insights, while collaborating with various stakeholders. This role requires strong engineering skills and proficiency in Python and machine learning algorithms.

The Lead Data Scientist will collaborate with engineering, product, and analytics teams to optimize and scale Stellar's incentive strategies for healthcare providers, ensuring data integrity and analysis for impactful decision-making. This role requires hands-on data engineering skills and the ability to drive significant improvements in healthcare outcomes.

As a Data Scientist at Airtable, you will transform data into actionable insights for the Marketing team, develop reporting and dashboards, manage experiments, and help build a data culture throughout the company.

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 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 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.

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.

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 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.