The Bing organization is looking for a senior data and applied scientist to push the boundaries of online A/B experimentation capabilities and methods. The team informs our understanding of how users engage with search engines and integrated AI experiences, and 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 online controlled experiments.
As a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments.
Responsibilities:
- Understand A/B online experiments, online user engagement, and produce actionable, trustworthy conclusions.
- Innovate methods and capabilities for online A/B experimentation.
- Define, build and track success metrics for Bing customer satisfaction and retention.
- Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria.
- Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
- Develop tools to help analyze the movement of the metrics and assist feature teams to understand why their treatment changes impact the metrics.
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 results)
- 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)
- Equivalent experience.
Preferred Qualifications:
- Doctorate 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 results)
- Master’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)
- Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- 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.
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