Senior Data Scientist

Microsoft • Redmond, WA

8d • Hybrid

About The Position

The Bing organization is looking for a Senior Data Scientist. The team is pushing the boundaries regarding our understanding for how users engage with AI-powered 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 a billion users visit Bing.com worldwide monthly, and we have a large opportunity to grow further, especially with the introduction of AI-based features. 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 Senior Data Scientist in this team, you will have the chance to work on metrics and analytics shaping growth of the Bing product. You will have the opportunity to work not only with the Bing product team focused on growth but with many critical partner teams across Microsoft. You will drive impactful data-driven insights to understand impact and develop forecast models inform risk and opportunities to the product and business as early as possible.
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.

Requirements

• 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.

Nice To Haves

• 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 building forecast models using Prophet, SARIMA, LSTM.
• Unique balance of technical, analytical, and program management skills to drive actions from data.
• Technical expertise in working with big data, modern data analysis techniques and tools with solid understanding of math/statistics fundamentals (e.g. A/B testing).
• Passion for data and experience in direct application in data driven business.
• Familiarity with search engines, online services and marketing campaigns.
• Knowledge on machine learning for data mining, clustering and predictive analysis.
• A willingness to learn, share, and improve.
• Self-motivated, agile and driven to think out-of-the-box.
• Ability to work independently, influence others, and solid communication and collaboration skills.

Responsibilities

• Develop highly accurate forecast models powering insights for business and product risks and opportunities.
• Work closely with partners across the product, finance, ads to align on business goals and progress.
• Drive deep understanding and optics around top-level business metrics and levers for growth and risk.
• Drive impact analysis for features critical to agile course correction and business investments.
• Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives. across the product lifecycle against set goals.
• Evangelize your data analysis techniques, visualizations across teams.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree