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1,377 jobs found
02.04.2024
JPM
JPMorgan Data Scientist United States, Texas, Plano
DESCRIPTION:Duties: Develop and plan analytic projects through understanding the business objectives. Develop robust analysis and deliver plans to support clear and understanding of project requirements and goals. Develop the data,...
DESCRIPTION:QUALIFICATIONS:Minimum education and experience required: Master’s degree in Computer Systems Engineering, Data Science, or related field of study plus 3 years of experience in the job offered or as Data...
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,...
Design, develop, and maintain a product-led-growth data science framework to support strategic business decisions. Utilize machine learning, statistical analysis, LLMs, and other data science techniques to analyze in-product telemetry and...
Analyzing large sets of data to develop/improve automated Web Application attack detection dealing with malicious bots/misbehaving humans. Designing scalable processes to collect, manipulate, present, and analyze large datasets in a...
Explore high-level, undefined ideas and business problems using structured and unstructured data. Develop product offerings through careful consideration of business value and data analysis. Build and fine-tune deep learning and...
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related...
DESCRIPTION:Duties: Develop and plan analytic projects through understanding the business objectives. Develop robust analysis and deliver plans to support clear and understanding of project requirements and goals. Develop the data,...
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.