Data Scientist – Subscription Data Enablement
Core
Build and optimize machine learning models for a dynamic paywall and offer engine to maximize subscription revenue and reader engagement for news brands.
Role type
Senior Machine Learning Engineer (Subscription Optimization)
Builds
Dynamic paywall and offer engine models (propensity, recommender, offer optimization) for news brands
Domain
Media & Publishing / Subscription Business
Deliverable
production ML models
Required skills
Python, R, SQL, Machine Learning, Statistics, Hypothesis Testing, A/B Testing, Uplift Modelling, Causal Inference, Feature Engineering, Model Monitoring, MLOps
Preferred skills
Experience with Snowflake, MLflow, Streamlit, Experimentation Design
Technologies
Snowflake, MLflow, Streamlit
Responsibilities
Develop and improve models for dynamic paywall and offers; Design, run, and analyze experiments (A/B tests); Take models from notebook to production; Explain findings to commercial colleagues via analysis and dashboards; Propose improvements to modelling, tooling, and MLOps processes.
Seniority
Senior, hands-on IC
