Financial Modeler, Amazon Pxt
hace 3 semanas
About Us
Amazon is a global e-commerce leader and technology company that operates in multiple industries. We are committed to innovation and customer satisfaction.
Job Summary
We are seeking an experienced Applied Scientist to join our PXT Finance team. As an Applied Scientist, you will be responsible for developing and deploying machine learning models to support expense and headcount planning.
Key Responsibilities
- Develop and deploy state-of-the-art graph deep learning models for tasks such as node survival analysis and spatio-temporal time series forecasting.
- Collaborate with cross-functional teams to integrate forecasting solutions into Amazon's cost planning processes.
- Leverage big data processing frameworks such as Apache Spark to ingest high-volume headcount data into machine learning workflows.
- Apply GPU programming frameworks such as PyTorch and CUDA to deploy fast and scalable planning solutions.
Requirements
- 3+ years of experience building models for business applications.
- PhD or Master's degree in a related field (CS, CE, ML) or equivalent experience.
- Experience programming in Java, C++, Python, or related languages.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Preferred Qualifications
- Experience in professional software development.
- Experience using big data frameworks such as Spark and Hadoop.
Estimated Salary Range: $180,000 - $250,000 per year. The actual salary may vary based on factors like location, experience, and performance.
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