Mid-Level Machine Learning & Analytics Engineer
Core
Design end-to-end data pipelines, build predictive ML models, and create analytics frameworks to drive product decisions in real estate.
Role type
Mid-level machine learning & analytics engineer
Builds
Production-grade ML models, interactive analytical tools, and data pipelines for real estate clients
Domain
Real estate / Data science
Deliverable
production ML models | product features | dashboards & analysis
Required skills
supervised/unsupervised ML modeling, A/B testing and causal inference, ETL/ELT pipeline development, dbt and dimensional schema design, model deployment via APIs, feature extraction and hyperparameter optimization
Preferred skills
None stated
Technologies
SQL, Python, FastAPI, Tableau, Looker, Power BI, dbt
Responsibilities
Build and fine-tune ML models for churn, LTV, and forecasting; design and execute statistical hypothesis testing; construct and optimize data pipelines; build data schemas and BI dashboards; wrap models into APIs for inference; communicate technical insights to stakeholders
Seniority
Mid-level, hands-on IC