Principal Data Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Causal Inference, Predictive Modeling, Experimentation, Growth Analytics, A/B Testing, Telemetry Quality, Semantic Modeling, Anomaly Detection, Product Management, Engineering, Design, Data Integration, Big Data Analytics, Business Intelligence, AI

Industry

Software Development

Description

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. 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

As a Principal Data Scientist, you will drive product-led growth across Real-Time Intelligence by building and productionizing causal and predictive models. You will also run disciplined experimentation to improve acquisition, activation, engagement, retention, and conversion.