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Top Data Science Jobs in NYC, NY
Lead the Machine Learning team at OpenX, developing ML products for ad marketplaces. Collaborate with cross-functional teams to set vision and strategy, guide product development, and foster a collaborative team culture.
The AI & GenAI Data Scientist will develop predictive models, conduct statistical analysis, and create data visualizations to solve complex business problems. Responsibilities include building AI solutions, collaborating with clients to understand business challenges, and designing AI architectures.
As a Principal Associate, Data Scientist at Capital One, you'll collaborate with cross-functional teams to develop and deploy machine learning models that enhance customer management decisions. You will leverage technologies like Python and AWS to analyze large datasets, translate complex problems into business solutions, and innovate on data-driven strategies.
As a Principal Associate, Data Scientist, you'll design and implement machine learning models for the US Card Data Science team, collaborating with data engineers and product managers. Your role involves leveraging a broad tech stack to analyze large data volumes and improve decision-making processes in credit card underwriting.
The Manager, Clinical Data Scientist will oversee clinical data management and ensure the quality and integrity of data during clinical trials. Responsibilities include organizing clinical data, developing data management plans, leading projects, and collaborating with research units. The role demands strong analytical, planning, and communication skills to facilitate stakeholder collaboration and operational excellence.
As a Senior Manager Data Scientist at Capital One, you'll lead a team to develop machine learning models for customer management, collaborating with data scientists, software engineers, and product managers, overseeing the model life cycle from development to implementation.
As a Senior Associate in AI and GenAI Data Science at PwC, you'll leverage advanced analytics techniques and programming skills to develop AI solutions, optimize operations for clients, and manage data-driven decision-making processes. You'll collaborate with clients to understand their challenges and design appropriate analytical models while overseeing a global data analytics team's operations.
As a Data Scientist at Capital One, you will lead the development of generative AI solutions, working with a cross-functional team to analyze and interpret vast amounts of data. Responsibilities include building machine learning models and translating complex technical work into business objectives.
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As a Data Scientist within the Asset Management Risk team, you will develop and deliver data science solutions, manage project lifecycles, and integrate various data types to enhance risk insights. You will collaborate with stakeholders, design scalable solutions, and use data visualization to communicate findings to senior leaders.
The Data Scientist will evolve product databases, forecast demand trends, and develop analytic solutions. Responsibilities include maintaining data quality, supporting product launches, performing data analysis for business decisions, and contributing to capacity planning models and tools.
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 Principal Data Scientist, you will collaborate with cross-functional teams to deliver AI-powered products, utilizing technologies like Python and PyTorch for data analysis and model deployment, while leveraging your expertise in machine learning and statistical modeling.
As a Staff Data Scientist, your role will involve leveraging data science techniques to improve mental health services, utilizing analytics to derive insights from healthcare data, and collaborating with cross-functional teams to drive business decisions based on empirical findings.
The Senior Associate, Data Scientist will leverage machine learning technologies and work with a cross-functional team to build and deploy models that improve credit card customer acquisitions for Capital One. Responsibilities include collaborating with engineers and analysts, developing machine learning models, and translating complex data insights into actionable business goals.
As a Principal Associate Data Scientist at Capital One, you will develop machine learning models to prevent application fraud and enhance customer experience, working with a diverse team and leveraging a broad technology stack to analyze large data sets.
As a Principal Associate Data Scientist at Capital One, you will collaborate with data scientists and software engineers to build machine learning models and analyze large datasets. Your role includes delivering insights, improving decision-making systems, and translating complex analytical results into actionable business strategies.
As a Principal Data Scientist, you'll be part of a cross-functional team developing AI/ML solutions for personalized customer experiences. Responsibilities include building machine learning models, analyzing data, and collaborating with engineers and product managers to deliver insights that enhance financial decision-making for customers.
As a Principal Associate Data Scientist, you will develop next-generation Card risk models, enhance business performance, and invest in infrastructure tools. Collaborating with cross-functional teams, you'll leverage technologies like Python and AWS to build machine learning models and drive business improvements while supporting professional development and work-life balance.
As a Data Scientist at Capital One, you will leverage analytic and technical skills to innovate data solutions, develop credit bureau data insights, perform deep analysis, and maintain strategic partnerships to support underwriting decisions in the US Card sector.
As a Manager, Data Scientist, you will lead the development of generative AI-based solutions for financial data analysis. Collaborate with a cross-functional team, fine-tune large language models, manage data annotation projects, and optimize data and model pipelines to deliver impactful products.
As a Data Scientist at Capital One, you will partner with cross-functional teams to deliver insights from large volumes of data using machine learning and technology. You will build predictive models, translate complex data into business goals, and stay updated on emerging technologies.
As a Data Scientist in Product at Notion, you will work closely with product and engineering teams to analyze user interaction data, design experiments, and influence product decisions. You will create and maintain performance dashboards, communicate discoveries across the company, and drive impactful changes through data-driven insights.
As a Senior Associate Data Scientist, you'll develop insights from credit bureau data, partner with cross-functional teams, build and evaluate machine learning models using advanced technologies, and present findings to senior leadership while improving production infrastructure.
As a Principal Data Scientist, you will partner with cross-functional teams to build machine learning models, leveraging technologies like Python, AWS and Spark to analyze large datasets and uncover insights while managing the complexities of data.
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.
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