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The Bing organization is looking for a Data and Applied Scientist for its online metric team. The team is pushing the boundaries regarding online A/B experimentation capabilities and 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 the Bing and MAI organization and help engineers make the right ship decisions for their thousands of online controlled experiments.
Job Responsibility:
Design, analyze, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions.
Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention.
Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions.
Effectively communicate analytical methodologies, data visualizations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.
Requirements:
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 field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
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 1+ year(s) data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience