Data Scientist

Skills: Python, ML frameworks, Azure Machine Learning, MS Fabric, Power BI

1. 8+ Year of experience

2. Able to define, build and refine predictive ML Models,

2. Experience with MS Fabric and Azure Data services

3. An applied data scientist who can perform causal impact analysis using observational data (no experimentation), interpret telemetry and business metrics, and build repeatable models in Fabric.

4. Design and run causal inference on program or feature adoption (e.g., Telemetry Insights, FastTrack) to measure impact on product health, customer outcomes, and revenue—because our team has Fabric/Power BI engineering skills but lacks data science expertise for causal modelling.