The Bing organization is looking for a Senior Data Scientist to join the team. The team is pushing the boundaries of our understanding of how users engage with AI-powered search engines and translates the insights into actionable metrics. These metrics then provide direction to the Bing team and help engineers make the right ship decisions for their thousands of online controlled experiments.
Nearly a billion users visit Bing.com worldwide monthly, and we have a large opportunity to grow further, especially with the introduction of AI-based features. At Bing, we celebrate our data-driven culture: changes only ship when their impact is understood and positive.
As a Senior Data Scientist in this team, you will have the chance to work on metrics and analytics shaping the growth of the Bing product. You will have the opportunity to work not only with the Bing product team focused on growth but with many critical partner teams across Microsoft.
Responsibilities:
- Develop highly accurate forecast models powering insights for business and product risks and opportunities.
- Work closely with partners across the product, finance, and ads to align on business goals and progress.
- Drive deep understanding and optics around top-level business metrics and levers for growth and risk.
- Drive impact analysis for features critical to agile course correction and business investments.
- Define and track key org-level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals.
Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results스의
- Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
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