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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 fieldo OR equivalent experience. Experience working in a data scientist role. Experience in working with...
Analyze and manipulate large datasets. Utilize machine learning technologies and algorithms, predictive modeling and data mining techniques to gain critical business insights. Utilize AI technologies to dissect and analyze internal...
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related...
Forge strategic partnerships with cross-functional teams and business leaders to leverage data insights in product and program decision-making processes. Utilize advanced data science techniques (e.g., Natural Language Processing, clustering, predictive...
Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.). Drive design and development of user classification models and other predictive models to enable a personalized...
DESCRIPTIONAs a Senior Data Scientist with expertise in Machine Learning (ML), development and use of multi model models, utilizing diverse sets of large data you will work with a team...
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership. Fine-tune a...
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldo OR equivalent experience. Experience working in a data scientist role. Experience in working with...
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.