About the job
The Bing organization is looking for a senior data and applied scientist. 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 Bing and MAI organization and help engineers make the right ship decisions for their thousands of online controlled 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
Minimum
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) OR 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) OR 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) OR equivalent experience.
Preferred
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) OR 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) OR 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) 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.