Data Scientist, Devices and Services FinTech

$125,500 - $212,800/Yr

Amazon - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Scientist position within Amazon Devices and Services FinTech involves building forecasting solutions to support financial planning and analysis for various Amazon devices. The role requires deep data analysis, algorithm development, and effective communication with both technical and non-technical stakeholders to drive insights and recommendations for operational and financial planning.

Responsibilities

• Create various forecasts, including Operational Expenses, and drive adoption of these forecasts by various teams within Amazon.
• Continuously innovate through research and the application of the latest machine learning techniques to drive forecasting accuracy improvement.
• Perform exploratory data analysis to identify business opportunities and develop a plan to address them.
• 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.
• Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance.
• Utilize code (Python, R, Scala, SQL, etc.) for analyzing data and building statistical and machine/deep learning models.

Requirements

• Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• 3+ years of data scientist experience.
• 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.

Nice-to-haves

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.

Benefits

• Competitive salary based on market location and experience.
• Equity and sign-on payments as part of total compensation package.
• Full range of medical, financial, and other benefits.