Senior Data Scientist (Applied ML)
Core
Lead the development of production-grade machine learning solutions for consumer personalization, predictive modeling, and performance marketing to drive business growth and customer engagement.
Role type
Senior hands-on individual contributor applied machine learning engineer
Builds
Production ML models for customer lifetime value, lead scoring, and recommendation engines
Domain
Financial services / Applied Machine Learning
Deliverable
production ML models
Required skills
Applied machine learning, Databricks, MLflow, Python, SQL, supervised learning, predictive modeling, scalable inference systems, software engineering fundamentals, business acumen
Preferred skills
None stated
Technologies
Databricks, MLflow, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow
Responsibilities
Lead end-to-end development of advanced ML models for LTV and conversion propensity; Develop recommendation and ranking models for financial products; Establish best-in-class ML practices including experiment tracking and model monitoring; Design experiments to measure incremental business impact; Mentor practitioners and influence architectural decisions
Seniority
Senior, hands-on IC
