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Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

•​The Fabric Real-Time Intelligence (RTI) Data Science team is hiring a Principal Data Scientist to drive product‑led growth across Real‑Time Intelligence. In this team, you’ll partner closely with PM, Engineering, and Design to shape the usage funnel for RTI experiences (e.g., on‑ramps, trials, and real‑time workloads), build and productionize causal and predictive models, and run disciplined experimentation that improves acquisition, activation, engagement, retention, and conversion. What makes this team unique is our end‑to‑end ownership: from telemetry quality and semantic modeling, to growth analytics and A/B testing, to shipping actionable signals back into the product (including anomaly detection and trial logic) so we can learn and iterate quickly at scale. As the Principal Data Scientist, you will set the technical bar for experimentation, causal inference, and business impact measurement, while coaching a high‑performing v‑team to translate insights into shipped growth features.​

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We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities

+ Lead Product-Led Growth (PLG) strategy through data science: Define and execute the experimentation and modeling roadmap to improve acquisition, activation, engagement, retention, and monetization.

+ Design and operationalize experiments: Build and scale A/B testing and causal inference frameworks to measure impact and guide product decisions.

+ Develop predictive and causal models: Deliver models that forecast user behavior, identify growth opportunities, and inform product interventions.

+ Partner cross‑functionally: Collaborate with Product, Engineering, and Design to translate insights into shipped features that accelerate growth.

+ Elevate data quality and observability: Ensure telemetry, metrics, and pipelines enable trustworthy experimentation and decision‑making.

+ Influence long‑term growth strategy: Provide thought leadership on PLG best practices and mentor peers to raise the bar for experimentation and analytics.

Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values)

Qualifications

Required/Minimum Qualifications

+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

+ OR equivalent experience.

+ Proficiency in statistical modeling and experimentation (e.g., A/B testing, causal inference) with a track record of applying these methods to product decisions.

Other Requirements

+ Ability to meet Microsoft, customer and/or government security screening requirements arerequired 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.

Preferred/Additional Qualifications

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+ Strong programming skills in languages commonly used for data science (such as Python, R, or SQL) and experience working with large-scale data systems.

+ Experience with product analytics and growth metrics, including acquisition, activation, engagement, retention, and monetization.

+ Ability to translate data insights into actionable product strategies and influence cross-functional teams (Product, Engineering, Design).

+ Excellent communication and storytelling skills to convey complex analyses to technical and non-technical audiences.​

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 October 29, 2025.

\#azdat \#azuredata

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) .