Principal Data Scientist

Overview

Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive!

We are the computational advertising team in the AI & Research organization at Microsoft. We are looking for candidates with deep data science experience, preferably also with leading projects across v-teams and orgs. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced

Principal Data Scientist

to join our Microsoft Advertising team.

Responsibilities

• Work with a host of engaged stakeholders who value your skills and consider you a thought partner in driving the business.
• Collaborate with cross-functional teams to understand features, estimate impacts and drive engagement improvements based on insights from big data.
• Enhance products by evaluating performance metrics and user feedback. Develop self-service dashboards and reports for various stakeholders using reporting platforms.
• Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.
• Build a metrics system to measure Business Health and quickly identify the root cause when metrics move.
• Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI.
• Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements based on the results.
• Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making.

Qualifications

• Required/Minimum 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).

  • 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.

• Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.

• Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala).

• Preferred Qualifications:

• 7+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
• Previous product analytics, web analytics and or content analytics experience.
• Interpersonal communication and ability to leverage the data to tell a story.
• Knowledge of Advertizing ecosystem, Ads and shopping metrics.

• Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

#MicrosoftAI

This position will be open for a minimum of 5 days, with applications accepted on an basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about

requesting accommodations.

• 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
• Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.
• Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala).
• 7+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
• Previous product analytics, web analytics and or content analytics experience.
• Interpersonal communication and ability to leverage the data to tell a story.
• Knowledge of Advertizing ecosystem, Ads and shopping metrics.