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24.03.2024
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Microsoft Data Scientist United States, Washington
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...
Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Mathematics, Physics, or a closely related field plus two years of experience in the job offered, as a data scientist,...
DESCRIPTION:QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Mathematics, Finance, Economics, Computing, Computer Science, Computer Engineering, Data Analytics, or related field of study plus 3 years of experience in the...
Develop and maintain ongoing dashboard and reporting to be delivered to the stakeholders and management. Identify areas of opportunities for report automation for business stakeholders. Gather business requirements from various...
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...
Research and develop new methodologies for demand forecasting. Improve upon existing methodologies and implement model enhancements. Drive scalable solutions. Create and track accuracy and performance metrics (both technical and business...
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...
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.