Data Scientist Hybrid
Core
Develop and evaluate machine learning models and analytics applications to support pricing strategy and revenue management for an Out of Home advertising company.
Role type
Applied Data Scientist (Pricing & Revenue)
Builds
Pricing models, analytics applications, and automated insights pipelines
Domain
Advertising / Out of Home (OOH) / Pricing Strategy
Deliverable
production ML models
Required skills
Python, SQL, statistics, machine learning modeling, data integration, model evaluation
Preferred skills
Pricing/revenue management experience, Databricks/PySpark, AWS, mathematical optimization, model productionisation
Responsibilities
Source and transform data into modeling-ready assets; develop and refine pricing models using statistical and ML approaches; build interactive analytics applications and dashboards; collaborate on model deployment and MLOps; translate model outputs for business stakeholders
Seniority
Mid-level, hands-on IC
