Senior Data Scientist

What you'll do

• Develops and integrates advanced analytics solutions using data analytics methods and computational modeling techniques.
• Designs fully automated ETL pipelines for internal and external datasets to support reporting, dashboards, and ad-hoc requests.
• Translates complex business questions into analytical frameworks and delivers insights through clear communication to non-technical stakeholders.
• Oversees the full development lifecycle of products, ensuring adherence to best practices and coding standards.
• Utilizes AI ecosystems to accelerate code generation, unit testing, and sustainability while maintaining high data quality and compliance.
• Leads initiatives in analyzing financial data, including regulatory datasets, to provide key statistical insights for decision-making.

What we're looking for

• Minimum three years of work experience in data analytics or related field.
• Advanced proficiency in Python, PySpark, and SQL for data manipulation and analysis.
• Experience with operationalizing Machine Learning workflows using specialized frameworks.
• Strong analytical skills and knowledge of statistical modeling techniques.
• Excellent verbal and written communication skills to convey complex insights clearly.
• Proficiency in cloud data platforms, technologies, and solutions for scalable analytics.
• Bachelor's degree in Computational Finance or related field; advanced degrees preferred.