Principal Data Scientist
Job Description
The Bing organization is looking for a Principal Data Scientist. The team is pushing the boundaries regarding our understanding for how users engage with search engines and then 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 half a billion users visit Bing.com worldwide monthly, 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 a great opportunity to make solid, and even multiplicative impact on the org. As a Principal Data Scientist in this team, you will have the chance to work on and deliver an improved A/B experimentation system for Bing, as well as 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. Come join us! Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Locations
- Mountain View, California, United States, Mountain View, California, United States
- Redmond, Washington, United States, Redmond, Washington, United States
Salary
Salary not disclosed
Required Qualifications
- Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. (degree)
- OR Master'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) (degree)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) (degree)
- OR equivalent experience. (degree)
- Experience in SQL-like query languages. (degree)
- Experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++. (degree)
- Familiarity with online A/B experimentation. (degree)
- Familiarity with large-scale online products, dealing with online instrumentation. (degree)
- Experience with large datasets and interest in consumer online search behaviors. (degree)
- Ability to work independently, influence others, and solid communication and collaboration skills. (degree)
Preferred Qualifications
- Familiarity with online A/B experimentation. (degree)
- Familiarity with large-scale online products, dealing with online instrumentation. (degree)
- Experience with large datasets and interest in consumer online search behaviors. (degree)
- Ability to work independently, influence others, and solid communication and collaboration skills. (degree)
Responsibilities
- Inform future directions of Bing’s A/B experimentation platform, and drive improvements to it.
- Establish long-term A/B experimentation capabilities.
- Understand A/B online experiments, online user engagement and produce actionable, trustworthy conclusions.
- Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria.
- Continuously improve measurement of the key metrics and update the metrics according to new instrumented signals.
- Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics.
Travel Requirements
4 days / week in-office
