Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- Analyze large-scale user behavior and content metadata to uncover actionable insights and build impactful personalization models.
- Design, develop, and deploy ML models including collaborative filtering, content-based recommendations, sequence models, and retrieval-ranking pipelines.
- Integrate models into production systems ensuring low-latency, high-accuracy performance at scale.
- Collaborate with engineers, product managers, designers, and data scientists to define personalization goals and drive feature impact across user journeys.
- Develop robust A/B test frameworks, analyze experiments, and drive iteration based on performance and user engagement.
- Actively monitor model performance, detect data drift, and refine strategies to improve long-term personalization quality.
- Leverage LLMs and embeddings to improve personalization for underrepresented content, new users, and diverse formats.
- Present technical strategies and results to cross-functional stakeholders and leadership.
Requirements
- Proven experience in data science and machine learning preferably in personalization or recommendation systems.
- Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)
- Expertise in building and deploying machine learning models into production systems.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud).
- Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques.
- Should be comfortable leveraging LLMs and internals.
- Strong problem-solving skills with the ability to translate business problems into data science solutions.
- Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders.
Job title
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