Senior Data and Applied Scientist (AI)

TL;DR

Senior Data and Applied Scientist (AI): Defining and tracking success metrics for Bing customer satisfaction and retention, analyzing thousands of online A/B experiments with an accent on statistical methods, user engagement, and actionable insights. Focus on innovating experimentation capabilities, uncovering patterns in large-scale telemetry data, and developing tools for metric impact analysis.

Redmond, United States. Employees within 50-mile commute expected to work from office at least four days per week.

USD $119,800 – $234,700 per year (USD $158,400 – $258,000 in San Francisco Bay area and New York City).

Company

Bing organization within hirify.global AI, serving hundreds of millions of users worldwide with search and AI experiences.

What you will do

• Understand A/B online experiments and user engagement to produce actionable conclusions and innovate experimentation methods.
• Define, build, and track success metrics for customer satisfaction and retention; develop ship decision criteria.
• Analyze large-scale telemetry data using advanced statistical methods to uncover patterns and trends.
• Develop tools to analyze metric movements and help feature teams understand experiment impacts.

Requirements

• Doctorate in relevant field +1 year data-science experience, OR Master’s +3 years, OR Bachelor’s +5 years, OR equivalent.
• Experience managing structured/unstructured data, applying statistical techniques, and reporting results.

Nice to have

• Doctorate +3 years, OR Master’s +5 years, OR Bachelor’s +7 years data-science experience.
• Experience with SQL-like query languages.
• Hands-on programming in Python, Java, C#, or C++.
• Ability to work independently, influence others, and communicate effectively.
• Familiarity with search engines, online instrumentation, large datasets, consumer search behaviors.
• Experience building machine learning models on large-scale data.

Culture & Benefits

• Data-driven culture: changes ship only with understood positive impact.
• Growth mindset, innovation, collaboration, respect, integrity, accountability, and inclusion.
• Potential for multiplicative impact on Bing initiatives.