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1,757 jobs found
27.05.2024
JPM

JPMorgan Data Scientist United States, New Jersey, Jersey City

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Description:
Duties: Research and Develop cutting edge natural language processing models to enhance the firms’ current capabilities. Execute programming in Go and Python. Use Kuberentes, Dockers, Jenkins, customize to deploy applications...
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27.05.2024
C

Couchbase Data Scientist United States, California

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Description:
Collaborative Ideation: Work closely with engineering and product to brainstorm, design, and validate new features and improvements based on data-driven insights. Resource Optimization: Partner with SREs to optimize resource usage,...
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17.05.2024
A

Apple Data Scientist United States, Texas, Austin

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Description:
8+ years experience with data science, mathematical modeling, probability, statistics, and optimization. Track record of technical leadership, particularly focused on developing and growing data science capabilities. Experience synthesizing complex data...
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20.05.2024
NIC

NICE Data Scientist United States, Georgia, Atlanta

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Description:
Participating in high-level, undefined ideas and business problems using structured and unstructured data. Developing product offerings through careful consideration of business value and data analysis. Building and fine-tuning deep learning...
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18.05.2024
A

Amazon Data Scientist United States, Massachusetts

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Description:
DESCRIPTIONPosition OverviewFlexibilityIt isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer...
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21.05.2024
A

Apple Data Scientist United States, Texas, Austin

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Description:
5+ Years of experience in modeling and solving large-size decision optimization problems using constraint programming, mixed integer programming, etc., and data science, machine learning, anomaly detection techniques. Meticulous attention to...
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Yesterday
CO

Capital One Senior Data Scientist United States, Virginia, Arlington

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Description:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad stack of technologies — Python, Conda, AWS, H2O,...
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Limitless High-tech career opportunities - Expoint
Description:
Duties: Research and Develop cutting edge natural language processing models to enhance the firms’ current capabilities. Execute programming in Go and Python. Use Kuberentes, Dockers, Jenkins, customize to deploy applications...
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.