Machine Learning Modeler, Advanced Insights & Modeling

📋 Description

• Design and implement forecasting, financial, or optimization models.
• Build end-to-end ML pipelines for training, deployment, and monitoring at scale.
• Collaborate with Data Science to productionize experimental models.
• Partner with Analytics & Finance to ensure interpretable forecasts.
• Develop explainability tools to communicate model drivers and uncertainty.
• Improve data pipelines with Airflow, BigQuery, Spark.

🎯 Requirements

• 5+ years in software or ML engineering with production ML.
• Deep understanding of applied ML and forecasting (time-series, regression).
• Proficiency in Python and ML libraries: scikit-learn, XGBoost, LightGBM.
• Experience building data pipelines with Airflow, Spark, and BigQuery.
• Familiarity with explainability techniques (SHAP, attribution, uncertainty).
• Strong analytical and communication skills; connect model design to business.

🎁 Benefits

• Remote work options.
• Medical insurance.
• Flexible time off.
• Retirement savings plans.
• Modern family planning.