Advanced Analytics Specialist
Core
Maintain and enhance existing machine learning models, feature engineering pipelines, and Python/PySpark-based codebases to ensure production readiness and reliability.
Role type
Senior IC machine learning engineer (analytics & MLOps)
Builds
Predictive models (propensity, churn, CLV, recommendation, forecasting), feature engineering pipelines, and production-ready ML components
Domain
Retail/Consumer analytics, Machine Learning, MLOps
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Scikit-learn, XGBoost, LightGBM, feature engineering, model validation, MLOps practices, CI/CD, code refactoring
Preferred skills
Generative AI, LLMs, RAG architectures, vector databases, agentic workflows
Responsibilities
Maintain and enhance existing ML models and analytical pipelines; Refactor code for performance and maintainability; Support model retraining, calibration, and validation; Monitor model performance and resolve production issues; Collaborate with data engineering and technology teams on MLOps standards
Seniority
Senior, hands-on IC
