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SAP
SAP Data Scientist United States, Washington, Bellevue
Programming languages including Python and SQL;. Data visualization, including Tableau;. Statistical analysis; and. Data manipulation, including data pre-processing and data cleaning. Machine learning fundamentals and algorithms;. Data science tools, including...
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...
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...
DESCRIPTIONYou’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help...
DESCRIPTIONAt AWS Bedrock, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging AWS resources, one of the world’s leading cloud companies and you’ll be able to...
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...
Programming languages including Python and SQL;. Data visualization, including Tableau;. Statistical analysis; and. Data manipulation, including data pre-processing and data cleaning. Machine learning fundamentals and algorithms;. Data science tools, including...
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.