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Senior Data Scientist - Ameriprise Financial
Data Scientist
Lead advanced analytics initiatives, building predictive models and data pipelines using Python, SQL, and AWS to drive strategic decisions in a global financial services environment.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models to solve complex business problems across investment, insurance, and advisory domains.
- Build and maintain end‑to‑end data pipelines on AWS, ensuring data quality, security, and compliance with regulatory standards.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions and actionable insights.
- Mentor junior data scientists and analysts, fostering a culture of continuous learning and best practices.
- Communicate findings to senior stakeholders through clear visualizations and executive summaries.
Requirements
- 10+ years of experience in data science, with a strong focus on predictive modeling and statistical analysis.
- Proficiency in Python, SQL, and AWS services (S3, Redshift, SageMaker).
- Deep knowledge of machine learning frameworks (scikit‑learn, TensorFlow, PyTorch) and model deployment pipelines.
- Experience with large‑scale data engineering, ETL processes, and data warehousing.
- Excellent communication skills and ability to present complex technical concepts to non‑technical audiences.
Skills
pythonmachine learningsqlaws