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9,099 jobs found
09.09.2025
JPM

JPMorgan Machine Learning Scientist - NLP Senior United States, New York, New York

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Description:
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community. Develop state-of-the art machine learning models to solve real-world...
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09.09.2025
JPM

JPMorgan Lead Software Engineer- Data Platforms United States, New Jersey, Jersey City

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Description:
Lead and manage a team of Client Service Professionals, fostering a culture of continuous improvement and innovation to enhance the efficiency and resilience of our operating platform. Develop and implement...
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09.09.2025
JPM

JPMorgan Lead ML Data Scientist - Vice President United States, Ohio, Columbus

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Description:
Communicate and interface with senior stakeholders, leveraging analytical skills and business acumen to drive impactful results that inform strategic decisions. Commit to iterative development, engaging and updating stakeholders bi-weekly or...
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09.09.2025
JPM

JPMorgan Commercial Investment Bank - Data Modeler Lead United States, New York, New York

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Description:
Work on designing new data models for domains such as financials and forecasting models across different scenarios and work on some of the most complex and highly visible data problems...
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09.09.2025
JPM

JPMorgan Machine Learning Data Scientist-Vice President United States, Ohio, Columbus

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Description:
Serve as a subject matter expert on a wide range of ML techniques and optimizations. Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related...
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09.09.2025
JPM

JPMorgan Software Engineer II - Big Data Analytics United States, Ohio, Columbus

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Description:
Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics. Work with product owners, data owners and customers to evaluate data requirements and identify right technology...
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09.09.2025
JPM

JPMorgan Vice President Data Management Lead - Product Owner United States, Delaware

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Description:
Engage with stakeholders to understand & document business requirements. Understand business problems and opportunities in the context of the requirements and recommend solutions that enable the organization to achieve business...
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Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis. Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.