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Data Scientist - Finance AI Transformation - Amazon
Data Scientist
Data Scientist focused on building AI‑driven forecasting and analytics for global financial planning, leveraging Python, SQL, ML, and AWS to deliver scalable solutions that enhance FP&A operations.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models for financial forecasting and scenario analysis.
- Collaborate with Corporate FP&A and cross‑functional teams to translate business requirements into data‑driven solutions.
- Build and maintain scalable data pipelines and dashboards using Python, SQL, and AWS services.
- Perform advanced statistical analysis and data visualization to communicate insights to stakeholders.
- Iterate on models and processes to improve accuracy, efficiency, and usability across the organization.
Requirements
- Strong programming skills in Python and experience with SQL for data extraction and manipulation.
- Proven experience building and deploying machine learning models in a production environment.
- Hands‑on knowledge of AWS services (S3, Redshift, SageMaker, Lambda) for data engineering and model deployment.
- Excellent analytical and problem‑solving abilities with a focus on financial data and forecasting.
- Effective communication skills to present complex findings to non‑technical audiences.
Skills
pythonsqlmachine learningaws