Data Scientist

Spocto

• Develop, implement, and maintain advanced analytical models and algorithms specifically geared toward improving debt collection processes.
• Collaborate with business stakeholders to identify key opportunities for data-driven improvements in debt collection strategies.
• Enhance existing models and incorporate new data sources to continuously optimize our approach.
• Own the end-to-end process of metric design, tracking, and reporting related to debt collection performance.
• Continuously improve and update metrics to align with business objectives and regulatory requirements.
• Communicate findings effectively with both technical and non-technical stakeholders.
• Stay abreast of the latest industry trends, tools, and best practices in analytics and debt management.

Required Skills

• In-depth understanding of machine learning algorithms (supervised, unsupervised, and ensemble methods) and their application to risk.
• Expertise in statistical analysis, including hypothesis testing, regression analysis, probability theory, and data modeling techniques, to extract insights and validate machine learning models.
• Experience in designing, developing, and delivering end-to-end data products and solutions.
• Expertise in model explainability techniques (e.g., SHAP, LIME) and regulatory compliance for risk models.
• Strong proficiency in Python.
• Working knowledge of PySpark ( Good to have )
• Proficiency in building and deploying models on cloud platforms (AWS).
• Proficiency in developing backend microservices using Fast API and working knowledge of MLOps.
• Experience with NLP techniques is good to have 

Domain Skills ( Good to have  )

• Prior domain expertise in debt collection processes, including credit risk assessment, regulatory compliance, and industry best practices.
• Proven ability to design, implement, and optimize performance metrics and key performance indicators tailored specifically for debt recovery initiatives.

Education and Experience

• Bachelor’s/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Experience in the financial sector or Collection team is a bonus.
• 1 to 3 years of experience in the data science and machine learning domain

  Role & responsibilities

Preferred candidate profile