Senior Data Scientist (Applied ML)
Core
Build and scale advanced machine learning solutions for customer lifetime value prediction, lead scoring, conversion optimization, and personalized financial product recommendations.
Role type
Senior Applied Machine Learning Engineer (Production)
Builds
Production-ready predictive models, recommendation engines, and personalization systems for financial products
Domain
Financial Services / Applied Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Databricks, MLflow, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, supervised learning, predictive modeling, classification, regression, ranking algorithms, batch and real-time inference, CI/CD, feature engineering, model monitoring
Preferred skills
None stated
Technologies
Databricks, MLflow, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow
Responsibilities
Lead end-to-end development, deployment, and optimization of ML models for LTV and revenue optimization; Design and implement recommendation and ranking systems; Establish and maintain robust data science practices including experiment tracking and model versioning; Design and conduct experiments to measure incremental business impact; Develop scalable batch and real-time inference solutions; Act as a technical leader by mentoring practitioners and influencing architectural decisions
Seniority
Senior, hands-on IC