Data Science - Senior Analyst

This Data Scientist role involves analyzing complex data using statistical and machine learning models to provide insights and drive data-driven decision making. The position requires experience in Python, data visualization, and collaboration with cross-functional teams. It emphasizes model development, robust model training, and effective communication.

Requirements

• A Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context.
• Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn.
• Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models.
• Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms.
• Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail.
• Superior communication skills, enabling the clear and concise presentation of complex findings.
• Extensive experience in Azure Databricks for data processing, model training, and deployment.
• Proficiency with Azure Data Lake and Azure SQL Database for data storage and management.
• Experience with Azure Machine Learning for model deployment and monitoring.
• In-depth understanding of Azure services and tools for data integration and orchestration.