Amazon Devices and Services FinTech is looking for a Data Scientist to build forecasting solutions and advanced analytics platforms for the Amazon Devices and Services Finance organization, aiming to improve forecasting accuracy and optimize AI systems.
Requirements
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Utilize code (Python, R, Scala, SQL, etc.) for analyzing data and building statistical and machine/deep learning models for both financial forecasting and AI product analytics
Responsibilities
- Create various forecasts, including but not limited to Operational Expenses, and drive adoption of these forecasts by various teams within Amazon for financial and operations planning
- Build product metrics, monitoring pipelines, and analytics tools for our AI assistant to track performance, user engagement, and system reliability
- Continuously innovate through research and the application of the latest machine learning techniques to drive forecasting accuracy improvement and AI system optimization
- Perform exploratory data analysis to identify business opportunities and develop plans to address them across both financial forecasting and AI product development
- Build customer-facing reporting tools and dashboards to provide insights and metrics which track forecast performance, AI assistant effectiveness, and explain variance
- Utilize code (Python, R, Scala, SQL, etc.) for analyzing data and building statistical and machine/deep learning models for both financial forecasting and AI product analytics
- Dive into complex datasets using advanced analytics and machine learning to build accurate forecasting models for problems like Operational Expense forecasting.
Other
- Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
