Job Details
Posted date: Sep 05, 2024
There have been 14 jobs posted with the title of Principal Data Scientist all time at Microsoft.There have been 14 Principal Data Scientist jobs posted in the last month.
Category: Research, Applied, & Data Sciences
Location: Redmond, WA
Estimated salary: $215,800
Range: $137,600 - $294,000
Employment type: Full-Time
Travel amount: 25.0%
Work location type: Up to 100% work from home
Role: Individual Contributor
Description
MSN (Microsoft Network) is the most convenient and trusted source for millions of users to catch up with their interests, be entertained, and discover something new.The Metrics and Analytics team within MSN is looking for a Principal Data Scientist to influence its product roadmap through data driven insights.
Through telemetry, data, and consumer insights you’ll work to understand key user behaviors, funnels, and focus on areas where we can improve their experience and journey. Our primary strategy is to meet users where they are and integrate content in the right context leveraging many Microsoft products. Personalization is a key tenet for our product and data/user insights play a foundation role.
We are consumer focused, data-driven, experimental, and adaptive. We have embarked on a mission to build a best-in-class personalized feeds recommendation product to delight a billion Windows users. With eyes on the future, we are bringing technology, content, and design together to create a delightful experience for our users. If this sounds exciting to you, we'd love to hear from you.
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.
Work closely with the product teams to understand business problems, collect, organize, and analyze data from multiple environmental sources, telemetry systems, organize them so that they can be consumed. Lead the team to evangelize strategic improvements across organizational boundaries. Provide comprehensive analysis of the current state of the product, identify best data sets, Data Science methodologies, algorithms, tools and infra needed to generate models to support the planned ML-based investments. Define appropriate metrics to measure model effectiveness, aligning with business goals. Integrate models into products, meeting product scaling and quality requirements.
Qualifications
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 technologies)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 technologies)OR equivalent experience.5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.Preferred Qualifications:
Experience working with large, distributed data sets to derive actionable insight. Advanced skills in big data programming language. Experience working with Azure’s analytics stack - Data Lake, Data Explorer/Kusto, Storage, Data Factory, Synapse, Data Bricks. Interpersonal communication and ability to leverage the data to tell a story. Previous web analytics, product analytics and or content analytics experience. Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights. Advanced degree in quantitative fields. Knowledge of Ads ecosystem, content and online shopping metrics. 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 Septermber 10, 2024.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
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