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Accountabilities:
- Develop and evolve predictive credit intelligence, applying machine learning and statistical techniques to solve complex business problems.
- Lead Data Science initiatives with autonomy, from problem definition through deployment and continuous improvement.
- Manage the complete lifecycle of machine learning models, including experimentation, validation, monitoring, and iteration.
Requirements:
- Practical experience with machine learning, statistics, and deploying models into production.
- Strong proficiency in Python, SQL, and Spark for processing large datasets.
- Familiarity with predictive credit risk models and ability to communicate results to business stakeholders.
Benefits:
- Fully remote work model with home office allowance and equipment support.
- Medical and dental assistance without coparticipation, plus mental health support.
- Education assistance covering 70% of tuition, stock options, and extended family leave.
Partner Company
Our partner is a company focused on building predictive intelligence for credit products. They operate in a collaborative, autonomous, and flexible environment with a strong focus on employee development and wellbeing.