A startup revolutionizing debt resolution is seeking a Head of Data Science & Intelligence to architect and build predictive models. The ideal candidate will have over 6 years of experience in data science and expertise in Python and SQL. Responsibilities include operationalizing ML pipelines and collaborating with AI engineers to align data systems with business operations. This role is crucial for developing predictive systems that drive financial decision-making in a growing AI platform.
Prestations
Fast-growing startup environment
Opportunity to lead innovative projects
Qualifications
6–10+ years in data science or quantitative modeling, ideally in fintech, credit, or analytics-heavy startups.
Expert in Python, SQL, and statistical modeling — you code, experiment, and debug at production level.
Experience deploying ML models to production (e.g. MLflow, Vertex AI, SageMaker, or custom pipelines).
Responsabilités
Architect and build predictive models across the stack — customer segmentation, PTP likelihood.
Operationalize ML pipelines using Python, SQL, and MLOps frameworks.
Collaborate with AI engineers to align model input/output structures.
Connaissances
Data science or quantitative modeling
Python
SQL
Machine learning
Statistical modeling
Predictive analytics
Outils
MLOps frameworks
BigQuery
Snowflake
MLflow
Description du poste
A startup revolutionizing debt resolution is seeking a Head of Data Science & Intelligence to architect and build predictive models. The ideal candidate will have over 6 years of experience in data science and expertise in Python and SQL. Responsibilities include operationalizing ML pipelines and collaborating with AI engineers to align data systems with business operations. This role is crucial for developing predictive systems that drive financial decision-making in a growing AI platform.
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