Data Scientist

Lunar Point Systems delivers Microsoft Fabric data solutions for business clients, including predictive modeling and applied machine learning built natively within the Fabric platform. This role owns the full model lifecycle — from KPI definition and feature engineering through training, deployment, and production monitoring — across client engagements that span different industries and problem domains.

Responsibilities:

• Work with clients and the Lunar Point team to identify business KPIs and define how machine learning can drive measurable progress toward those goals
• Design and run end-to-end ML experiments using Fabric Data Science — including feature engineering, model training, evaluation, and iteration
• Manage experiment tracking and model versioning using MLflow within Fabric Notebooks
• Build reusable feature pipelines stored and governed in OneLake, following medallion architecture conventions
• Deploy trained models into production within the Fabric environment and establish monitoring for drift, accuracy, and performance degradation
• Participate in workspace deployment pipeline promotions (Dev to UAT to Prod) and validate model behavior across environments
• Partner with Data Engineers to ensure pipelines deliver model inputs reliably at scale
• Communicate model outputs, confidence levels, and business implications clearly to client stakeholders
• Maintain documentation of model architecture, training data, assumptions, and performance benchmarks per client