Experience Inc. Jobs

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!

The Feeds & Verticals organization builds tools to connect people to content that matters. We aim to make Microsoft consumer products the content powerhouse for every person on the planet by delivering personalized experiences. We are looking for a highly motivated and experienced Principal Data Scientist to join our Growth and Analytics team.

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.

Responsibilities

In this role, you will have ownership of high-visibility initiatives across our portfolio and will lead the generation of insights that drive our business. Expect to work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business! 

*Your responsibilities will include: *

• Build metrics system to measureBusiness Health and quickidentify the root cause when metrics moves.

• Collaborating with cross-functional teams to understand features,estimate impacts and drive the 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.

• Analyzing large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems. 

• Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI.

• Designing and conducting A/B tests to evaluate algorithm performance and proposing iterative improvements based on the results. 

• Effectively communicating findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making. 

Qualifications

Required Qualification:

• 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.

• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

• 5+ years of experience in data science modeling, statistics, analytics, business intelligence or data-driven business strategy. 

• 5+ years of data analysis experience with Python/PySpark/R/SQL.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR equivalent experience.

• Previous web analytics, product analytics and or content analytics experience. 

• Knowledge of Ads ecosystem, content and online shopping metrics.  

• Interpersonal communication and ability to leverage the data to tell a story. 

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

• Advanced degree in quantitative fields.

• Knowledge on big data processing as our analysis is based on PB level data from raw events to metrics and insights (PySpark/Scala is preferred).

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until December 24, 2024

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .