Top Data Science Jobs in NYC, NY
The Data Science Manager will develop care navigation algorithms and analytics while managing a team of data scientists and analysts. Responsibilities include overseeing the data science guild and ensuring success in a dynamic startup environment.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
As a Senior Data Scientist, you'll lead model-driven projects aimed at extracting insights from customer communications, utilizing generative AI, deep learning, and large-scale data annotations to enhance the customer experience. Collaborate with various teams to build effective machine learning solutions while communicating with stakeholders to align data insights with business goals.
The Senior Data Scientist will collaborate with cross-functional teams to develop machine learning models and apply innovative data-driven solutions to enhance commercial banking operations, while mining insights from large datasets to inform business decisions.
As an intern, you will collaborate with AI and Data Science teams to apply machine learning techniques on unique data assets, engaging in research partnerships and contributing to projects that enhance business operations at J.P. Morgan.
As a Principal Associate in Data Science at Capital One, you will work on cutting-edge projects using transformer models, large language models, and multi-modal technologies to analyze unstructured data sources like call transcripts and document images. You will lead data annotation projects, collaborate with business stakeholders, and leverage a variety of technologies including Pytorch, Hugging Face, and AWS.
As a Senior Manager, Data Science at Capital One, lead a team to develop machine learning models using Python and other technologies to provide data-driven solutions for customer-centric financial products. Collaborate with cross-functional teams to deliver innovative products and drive business strategies.
The role involves leading data science initiatives within JP Morgan Asset Management to enhance investment processes using machine learning. Responsibilities include collaborating with stakeholders to identify needs, developing NLP and ML solutions, improving model performance, deploying solutions, and staying updated on the latest research.
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The Principal Data Scientist will work with a cross-functional team to improve commercial banking through data-driven solutions, develop machine learning models, mine insights from large datasets, and translate complex data into actionable business goals.
The Experience Design Lead AI Data Science Vice President will drive innovative user experience design initiatives, mentor junior designers, and ensure alignment with business needs through inclusive and accessible practices. Responsibilities include developing design strategies, creating wireframes, and collaborating with teams to enhance user-centric solutions across AI products in Securities Services & CDAO.
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 Senior Manager of Data Science will build and lead a data science team at Ontra, driving results by translating business problems into data science projects. The role involves breaking down complex projects, maintaining resilience in the face of challenges, and coaching team members to deliver exceptional work while focusing on impactful solutions.
As a Staff Data Scientist, you will design, implement, and scale features for Datadog, focusing on business questions and opportunities. Your role involves hands-on development of machine learning models, mentoring team members, and collaborating across departments to advance data science best practices.
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 Associate Data Scientist, you'll lead projects using advanced data science methods, including Natural Language Processing and Computer Vision. Collaborate with teams to develop machine learning models, analyze structured and unstructured data, and innovate with generative AI technologies to enhance customer servicing applications.
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 Senior Associate Data Scientist, you will work on building machine learning models for compliance and risk management, translating complex data into actionable insights, and collaborating with data scientists and engineers to create data-driven solutions.
As a Data Science Manager at Quizlet, you will lead a team of data analysts to provide insights that guide product development. Responsibilities include managing team members, analyzing complex data sets for trends, and collaborating with other departments to integrate data-driven strategies into product features.
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.
The Principal Data Science Engineer will develop tools for data analysis, implement machine learning models, and mentor junior staff. Responsibilities include presenting findings to stakeholders, leading data science projects, and evaluating external AI solutions, all while managing tasks and project planning.
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