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22.07.2024
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Microsoft Data Scientist United States, Washington
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. Experience with at least one programming language (eg. R, Python, or Scala/Spark ). Master's...
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: Create data pipelines needed to deliver new analytics products. Create and deliver custom analyses of payments data's financial cost according to client request. Design repeatable analytics insights for product...
DESCRIPTION:QUALIFICATIONS:Minimum education and experience required: Master’s degree in Statistics, Econometrics, Mathematics or related field of study plus 3 years of experience in the job offered or as Data Scientist, Business...
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldo OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or...
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.OR equivalent experience. OR equivalent experience. 1+ year experience with python or R. Ability to...
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. Experience with at least one programming language (eg. R, Python, or Scala/Spark ). Master's...
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.