Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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