Senior Data Scientist/ML Ops Engineer (all genders)
Core
Build and run machine learning models for partner matching in a two-sided marketplace to optimize homeowner-partner connections.
Role type
Senior hands-on IC machine learning engineer (marketplace matching)
Builds
Production ML models for partner matching logic
Domain
Real estate marketplace / DACH region
Deliverable
production ML models
Required skills
applied data science, Python, SQL, modern data tooling (dbt, Airflow, Spark), cloud ML platforms (SageMaker, Vertex AI, MLflow), experiment design, causal inference, classical machine learning, probability calibration
Preferred skills
recommender systems, search ranking
Responsibilities
Define model outcomes and guardrails based on customer needs, build and monitor end-to-end matching models, improve matching logic for efficiency and rates, run controlled experiments, create datasets and pipelines, decide on model deployment practices, explain trade-offs to stakeholders
