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Top Data Science Jobs in NYC, NY
As a Data Science Manager, you'll lead the development of healthcare navigation algorithms, manage a team of 4-6 data scientists and analysts, and oversee Garner's Data Science Guild, contributing to the transformation of the U.S. healthcare system.
The Director of Pipeline Analytics leads data-driven insights for Pfizer's oncology portfolio, focusing on advanced analytics to support clinical development decisions and commercial strategies. The role involves collaborating with cross-functional teams, leveraging complex data sources, and presenting strategic recommendations to senior leadership.
The Senior Manager of Data Science & Analytics develops data-driven insights for commercial strategy through advanced analytics and collaboration. Responsibilities include managing data assets, conducting data analysis, optimizing customer engagement strategies, and supporting brand performance. The role requires presenting insights to leadership and continuously improving analytical methodologies.
The Manager of Data Science Analytics is responsible for leveraging advanced analytics to drive growth across Tapestry's brands. This role involves consulting with cross-functional teams, performing large-scale data analyses, translating data insights into actionable strategies, and developing visualizations. The individual will work closely with data engineers and the data science team to innovate analytics tools and present findings to leadership.
The Senior Manager, Data Science will lead a team in delivering AI-powered products that improve developer experiences using generative AI. Responsibilities include partnering with data scientists and engineers by leveraging technologies to build and operationalize NLP models and enhance software development lifecycles.
As a Principal Associate in Data Science at Capital One, you'll leverage generative AI, deep learning, and machine learning to extract insights from multi-modal data sources such as text, images, and audio. You'll manage data annotation projects, fine-tune large language and multi-modal models, and collaborate with various teams to enhance customer experiences.
The Data Science Lead will enhance investment processes through NLP and machine learning by collaborating with stakeholders, developing data-driven solutions, and improving model performance. Responsibilities include data collection, model training, performance monitoring, and presenting findings to technical and business teams.
The Senior Associate in Data Science focuses on applying generative AI technologies to analyze customer data across various formats. Responsibilities include utilizing transformer models for data analysis, managing data annotation projects, collaborating with business stakeholders, and optimizing machine learning pipelines with engineers.
Featured Jobs
The Manager of Data Science at Disney Streaming will lead machine learning initiatives, manage the lifecycle of ML development, drive data exploration and insights, perform data storytelling, and foster strategic collaborations. They will oversee a team of data scientists to enhance customer journeys and business metrics through data-driven solutions.
As a Staff Data Scientist, you will design, implement, and scale features at Datadog, focusing on delivering high-impact solutions while mentoring junior data scientists. Your role involves the complete data science lifecycle, collaborating closely with engineers and stakeholders to innovate and enhance data science methodologies and practices.
As a Senior Associate Data Scientist at Capital One, you will build machine learning models and collaborate with a cross-functional team to translate data insights into business objectives. The role focuses on regulatory compliance, risk management, and utilizing large datasets for meaningful analysis.
As a Senior Data Scientist in the Consumer Identity Machine Learning team at Capital One, you will analyze vast datasets to develop machine learning models that personalize customer experiences and improve operational effectiveness. You will work across all phases of the data science lifecycle, partnering with various teams to drive innovations in data analytics and machine learning applications, ensuring the accuracy of customer data and enhancing fraud detection efforts.
The Manager of Data Science role involves leading a team that develops and deploys predictive models for consumer credit risk management using a variety of technologies. Responsibilities include collaborating with data scientists, software engineers, and product managers, optimizing model pipelines, and translating complex analyses into tangible business outcomes.
The Director of Data Science will lead the Machine Learning team, develop ML vision and strategy, guide product development, mentor data scientists, and foster a collaborative culture while ensuring the delivery of high-quality work.
The Data Scientist will analyze business data to optimize operations, perform deep dives into data for insights, collaborate on measurement strategies, and build optimization models. They will create dashboards to track business metrics and communicate insights to stakeholders.
As a Lead Data Scientist at Brigit, you will build and optimize models to identify credit risk, predict customer churn, and enhance marketing spend. You'll oversee the full modeling lifecycle, analyze customer behavior, and monitor model performance in a collaborative team environment.
As a Manager in Data Science, you will lead a team to develop AI/ML solutions for personalized customer experiences, utilizing machine learning models and a variety of statistical and analytical techniques to derive insights from large datasets.
The Staff Data Scientist will work with the Search team to enhance the Provider Recommendation System using machine learning and statistical techniques. Responsibilities include analyzing data, building algorithms, mentoring other data scientists, and collaborating with cross-functional teams to drive product improvements.
The Summer IT & Data Science Intern will gain hands-on experience within Tapestry's corporate team, focusing on IT/Data Science/Analytics. Responsibilities include working in Information Security, eCommerce, and Data Science, while applying skills in communication and familiarity with various technologies and networking systems.
The Data Scientist will focus on ML Ops and performance monitoring to enhance machine learning models in a high-speed search ads environment, collaborating with cross-functional teams to ensure accuracy, stability, and alignment with business goals while developing monitoring frameworks and improving processes.
As a Principal Data Scientist at Rokt, you will own marketplace health and growth metrics, conduct modeling to identify opportunities, and develop strategies in collaboration with R&D and Sales to drive marketplace expansion.
As the Head of Data & AI, you will provide strategic insights on AI innovation, develop robust data infrastructure, oversee AI models, and lead a team of data professionals. Your role involves staying updated on technology trends, enhancing user engagement through data, and ensuring ethical AI practices.
As a Data Scientist on the Product Analytics team at Peloton, you will analyze user interactions with Peloton products, lead A/B testing, define KPIs, and collaborate with cross-functional teams to enhance member engagement and feature development.
As a Principal Associate Data Scientist at Capital One, you will utilize your analytic and technical skills to create and maintain data-driven solutions that address business problems, particularly in Card underwriting. You will analyze credit bureau data, present findings to stakeholders, and contribute to data monitoring infrastructure.
As a Lead Data Scientist at Disney+, you will partner with various teams to design and build machine learning models, analyze subscriber data, and visualize complex datasets. Your role involves deep analytical expertise to drive business impact through data modeling and collaboration with stakeholders.
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