Data Scientist

Role Overview: As a Data Scientist in our company, your primary focus areas should align with at least one of the following: Key Responsibilities: - Build real-time business performance dashboards for risk monitoring using Power BI and SQL - Write advanced SQL queries (joins, filters, window functions, etc.) and build Power BI data models - Manage relationships between multiple tables and utilize DAX for building complex measures and calculated columns - Troubleshoot and debug issues in reports or data pipelines - Translate business needs into analytical solutions with effective communication skills - Work with large datasets from various sources and have basic knowledge of Python for data wrangling - Design risk assessment scorecards for all lending stages using explainable ML techniques - Develop proprietary variables from credit bureau, application data, social media, and transaction patterns - Implement supervised/unsupervised learning models combining structured and unstructured data - Convert raw data into actionable features via techniques like dimensionality reduction and interaction terms - Build real-time business performance dashboards for risk monitoring - Maintain a continuously-updating Business Rule Engine using Python - Optimize Python-based feature pipelines for GPU acceleration and Spark/Dask distributed processing - Establish data handling protocols for extraction, cleaning, and pipeline maintenance Qualification Required: - 0 to 2 years of experience with Power BI and SQL as a data analyst or similar role - Strong analytical mindset with attention to data accuracy and problem-solving - Ability to work independently and write advanced SQL queries - Experience in building Power BI data models and managing relationships between tables - Comfortable using DAX for building complex measures and calculated columns - Effective communication skills to translate business needs into analytical solutions - Experience in working with large datasets from different sources - Basic knowledge of Python for data wrangling, including numpy and pandas Role Overview: As a Data Scientist in our company, your primary focus areas should align with at least one of the following: Key Responsibilities: - Build real-time business performance dashboards for risk monitoring using Power BI and SQL - Write advanced SQL queries (joins, filters, window functions, etc.) and build Power BI data models - Manage relationships between multiple tables and utilize DAX for building complex measures and calculated columns - Troubleshoot and debug issues in reports or data pipelines - Translate business needs into analytical solutions with effective communication skills - Work with large datasets from various sources and have basic knowledge of Python for data wrangling - Design risk assessment scorecards for all lending stages using explainable ML techniques - Develop proprietary variables from credit bureau, application data, social media, and transaction patterns - Implement supervised/unsupervised learning models combining structured and unstructured data - Convert raw data into actionable features via techniques like dimensionality reduction and interaction terms - Build real-time business performance dashboards for risk monitoring - Maintain a continuously-updating Business Rule Engine using Python - Optimize Python-based feature pipelines for GPU acceleration and Spark/Dask distributed processing - Establish data handling protocols for extraction, cleaning, and pipeline maintenance Qualification Required: - 0 to 2 years of experience with Power BI and SQL as a data analyst or similar role - Strong analytical mindset with attention to data accuracy and problem-solving - Ability to work independently and write advanced SQL queries - Experience in building Power BI data models and managing relationships between tables - Comfortable using DAX for building complex measures and calculated columns - Effective communication skills to translate business needs into analytical solutions - Experience in working with large datasets from different sources - Basic knowledge of Python for data wrangling, including numpy and pandas