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The Bing organization is looking for a Principal Data and Applied Scientist for its online metric team. The team is pushing the boundaries of online A/B experimentation capabilities and impact measurement methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences and then translates the insights into actionable metrics. These metrics provide direction to the Bing and MAI organization and help engineers make the right ship decisions for their thousands of A/B experiments. Bing.com reaches about a billion people worldwide, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is at the center of what defines our decision-making processes and is an excellent opportunity to make a multiplicative impact across the org.
Job Responsibility:
Drive innovation in large-scale online A/B experimentation for AI-powered web search, designing, building, and monitoring success metrics that directly measure user satisfaction, trust, and long-term retention across Bing experiences
Serve as a technical visionary and thought leader in online experimentation, shaping the future of product learning through research-driven, AI-enabled approaches that support trustworthy, agile, and evidence-based decision-making at global scale
Provide senior technical leadership and deep industry perspective, guiding cross-functional partners in the adoption of advanced experimentation platforms, causal inference techniques, and modern data science methodologies to deliver high-impact, scientifically rigorous experimentation programs
Build and scale advanced experimentation expertise across teams, spanning specialized tools, statistical methods, and ML-driven evaluation frameworks, to drive measurable business outcomes and extend the reach and impact of Search’s end-to-end experimentation ecosystem
Requirements:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
OR equivalent experience
Experience with SQL-like query languages
Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++
Ability to work independently, influence others, and solid communication and collaboration skills
Familiarity with search engines, dealing with online instrumentation
Experience with large datasets and interest in consumer online search behaviors
Experience with building machine learning models on large scale data
Nice to have:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience