1199 | Staff Data Scientist / Machine Learning Engineer
Core
Design, build, and maintain predictive Lifetime Value (pLTV) models and scoring frameworks to optimize customer value and business outcomes.
Role type
Staff Machine Learning Engineer (pLTV & Scoring)
Builds
Production-grade predictive models, feature pipelines, and API services for customer lifetime value optimization.
Domain
E-commerce / DTC / Retail
Deliverable
production ML models
Required skills
Python, XGBoost, CatBoost, SQL, BigQuery, GCP (Cloud Run, Airflow, Vertex AI), Model Calibration, Identity Resolution, API Integration, CI/CD, Feature Engineering
Preferred skills
E-commerce domain, Probabilistic models (BG/NBD, Gamma-Gamma), Ad platform signal engineering (Google Ads, Meta CAPI), Graph-based identity matching
Technologies
XGBoost, CatBoost, LightGBM, Python, SQL, BigQuery, GCP, Cloud Run, Airflow, Vertex AI, Pub/Sub
Responsibilities
Design and maintain pLTV models using gradient boosted trees; Develop tiered scoring frameworks based on data quality; Optimize calibration frameworks for business value; Build scalable feature datasets from transactional and behavioral data; Monitor model performance, drift, and feedback loops; Develop production-grade Python services and data pipelines; Implement software engineering practices (testing, CI/CD, monitoring); Operate ML workflows in cloud environments.
Seniority
Staff, hands-on IC
