Staff Data Scientist leading technical strategy for decisioning engines in mylo fintech. Overseeing ML solutions and mentoring teams in best practices.
Responsibilities
Lead the development of ML solutions across diverse contexts.
Champion the adoption of modern Model Serving frameworks and Feature Stores.
Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization.
Oversee the transition of models from notebook environments to low-latency production APIs.
Guide the team in best practices for Python software engineering.
Requirements
7+ years in Data Science with a strong emphasis on production engineering.
Experience in Fintech, Lending, or Risk is highly preferred.
Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks.
Proven track record of deploying models in real-time environments.
Familiarity with the concepts of Feature Stores and Model Registries is essential.
Expert-level Python skills.
Strong proficiency in SQL and relational database design.
Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps.
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