Lead predictive modeling with Databricks and MLflow as a Senior Data Scientist based in Canada. Work remotely on scalable, production-ready machine learning solutions. As an experienced Senior Data Scientist, you will develop models for customer lifetime value, conversion propensity, lead quality, and revenue optimization. You will design experiments, create inference solutions, and improve deployed model effectiveness. Your work connects technical initiatives with measurable business outcomes. Key Responsibilities:
Develop and deploy models for LTV, conversion, and revenue optimization Design experiments measuring incremental business impact Build scalable batch and real-time inference solutions Monitor data drift, model degradation,
and production performance Own initiatives from problem definition through impact measurement Requirements:
Five or more years in Data Science or Applied Machine Learning Direct Databricks experience building production machine learning workflows Advanced proficiency in Python and SQL Experience with scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow Solid software engineering and CI/CD fundamentals Apply predictive modeling, experimentation, and production engineering to improve conversion, profitability, and marketing efficiency through machine learning.