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6,468 jobs found
Yesterday
C

Cherre Senior Data Architect United States, New York, New York

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Description:
Lead the development and implementation of data architecture standards and best practices across the organization. Conduct training sessions and workshops to educate and empower multiple teams on data standards and...
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Yesterday
PP

PayPal Data Analyst United States, Illinois, Chicago

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Description:
Design, develop and maintain data driven solutions for LE risk management. Makes sound decisions that balance risk, user experience and financial performance. Develop and automate tracking functionality that monitors volume...
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Yesterday
PP

PayPal Senior Analyst Data Analytics United States, California, San Jose

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Description:
Analyze complex data sets to provide insights. Collaborate with stakeholders to understand their data needs. Deliver actionable recommendations based on data analysis. Ensure data accuracy and integrity in all analysis...
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Yesterday
U

Uber Data Scientist United States, West Virginia

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Description:
Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform. Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and...
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Yesterday
PP

PayPal Sr Engineer -Data Infra - Venmo United States, California, San Jose

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Description:
Design, implement andoperatedatainfrastructure’sinitiatives to provide secure, scalable,reliableand performantplatformto Venmo product,analyticsandthe other. provisioning,managementand monitoring solutions for the supported data. Build and implement scalable and reliable data pipeline architecture tooptimizeoverall performance. Build...
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Yesterday
JPM

JPMorgan Data Analytics Lead - Product Manager Vice President United States, New York, New York

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Description:
Provide leadership on developing and delivering data solutions that support business operations, strategic objectives, and advanced analytics, AI/ML. Collaborate with senior business and functional leaders to identify, define, and prioritize...
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16.07.2025
PP

PayPal Senior Staff Machine Learning Scientist United States, California, San Jose

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Description:
Develop and implement advanced MLframeworks, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiencesand Shopping Ranking...
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Limitless High-tech career opportunities - Expoint
Description:
Lead the development and implementation of data architecture standards and best practices across the organization. Conduct training sessions and workshops to educate and empower multiple teams on data standards and...
Full job details
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.