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Google Staff Data Scientist Product Workspace United States, California, Sunnyvale
Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis. 6 years of experience conducting A/B tests...
Bachelor's degree or equivalent practical experience. 7 years of experience in managing investigations and developing new leads related to espionage activities. Experience tracking adversaries via network infrastructure and malicious artifacts....
Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 5 years of architect-level experience in one or more cloud platforms (e.g., GCP), including experience in designing...
Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience. 5 years of work experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent...
Bachelor's degree in Electrical Engineering, a related field, or equivalent practical experience. 12 years of design experience in infrastructure and technology projects which include portions of pre-manufacture. 10 years of...
Bachelor's degree in Computer Science or equivalent practical experience. 5 years of experience with cloud computing or traditional enterprise data center technologies. Experience producing technical assets or writing technical documentation....
Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with design and architecture with testing/launching software products. Experience with Redis, Memcached, or...
Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis. 6 years of experience conducting A/B tests...
Data Analysts are responsible for analyzing and interpreting complex data to help inform and guide business decisions. They work with large datasets to identify patterns, trends, and insights that can be used to improve the performance of an organization. They use a variety of tools and techniques, including SQL, Excel, and statistical analysis, to extract, clean and transform data and perform data analysis.
Data Analysts work 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 have experience with data visualization tools, such as Tableau and Power BI, to create interactive dashboards and reports to communicate data insights clearly and effectively. They also have to make sure the data is accurate and reliable and they have to be able to explain the data insights to non-technical stakeholders.