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Data Science Jobs in New York

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Search jobs in
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Search Results - Data Science Jobs in New York
Capital One-New York
Manager, Data Science - US Card (Fraud) at Capital One summary: The Manager, Data Science - US Card (Fraud) at Capital One leads the development and deployment of machine learning models to detect and prevent credit card fraud. This role involves...
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MassMutual-New York
The Opportunity At MassMutual, we’re more than life insurance – we’re a leading financial services company committed to helping people secure their future and protect what matters most. As a Project Manager in Data Science & AI Engineering, you’ll...
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Capital One-New York
Senior Manager, Data Science - AI Foundations at Capital One summary: The Senior Manager, Data Science - AI Foundations leads a team that designs and deploys state-of-the-art AI and machine learning models, focusing on natural language processing...
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Capgemini-New York
Job Description  •  Capgemini Invent, AI / Analytics & Data Science  •  (Insight for II)  •  Managing Consultant (078314) Capgemini Invent, AI / Analytics & Data Science - (Insight for II) - Managing Consultant - 078314 Candidates can be based out...
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appcast.io -
Capital One-New York
Manager, Data Science - GenAI Digital Assistant at Capital One summary: The Manager, Data Science - GenAI Digital Assistant leads research and development in generative AI to enhance conversational digital assistant capabilities at Capital One...
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Jobs-New York
and developing data science and analytics capabilities for Education Group initiatives, using machine learning models, predictive analytics and reporting to support key functions and optimize customer outcomes. Duties include: 10%: Lead a data-product team...
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jobvertise.com -
Blue Nile-New York
including manufacturers, retailers, and consumers. As Senior Manager, Data Science, you will build out best-in-class modeling and analytical capabilities across R2Net, shortening the critical path between measurement and action. During the past decade...
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workable.com -
New York Cares-New York
analytics initiatives to support organizational goals. Key responsibilities include performing advanced data analysis, interpreting statistical findings, providing actionable insights, and managing data science projects to drive informed decision-making...
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Capital One-New York
Senior Manager, Data Science - GenAI Digital Assistant at Capital One summary: The Senior Manager, Data Science for GenAI Digital Assistant leads the development and research of generative AI and conversational large language models to enhance...
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Pride Health-New York
OF DUTIES AND RESPONSIBILITIES   1.  Conduct AI/machine learning workforce planning and capacity modeling aligned with future organizational needs.   2.  Design standardized job families and role levels for AI, data science, and technical roles.   3.  Define core...
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Capital One-New York
in data science, machine learning, and cloud platforms. Principal Associate, Data Scientist - US Card Acquisitions Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit...
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Mindrift-New York
join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:  •  Design original computational data science problems that simulate real-world...
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workable.com -
Uber-New York
Own affordability perception metrics, defining and tracking the core KPIs that influence how users perceive value (conversion, retention, perceived savings, and repeat intent).   5.  Partner cross-functionally with design, data science, marketing...
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appcast.io -
BNY-New York
test plans and user documentation for AI-enhanced control applications and automation scripts. /n /n To be successful in this role, we’re seeking the following: /n /n  •  Bachelor’s degree in Computer Science, Data Science, Information Systems...
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Pride Health-New York
Conduct AI/machine learning workforce planning and capacity modeling aligned with future organizational needs.   2.  Design standardized job families and role levels for AI, data science, and technical roles.   3.  Define core and technical competencies for all...
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