Data Scientist, AWS Finance, Analytics and Science Team
Amazon
DESCRIPTION
Join the Amazon Web Services (AWS) Finance, Analytics, and Science Team! AWS is one of Amazon’s fastest growing businesses, serving millions of customers in more than 190 countries. We are reshaping the way global enterprises use information technology and we are powering the next generation of global business leaders. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.
As a Data Scientist, you will be expected to work directly with senior management on key business problems. Scientists at Amazon use statistical and ML models to address complex problems, design and test hypotheses, and contribute to the design of automated systems. We are looking for a results-driven scientist to join our team in Seattle. The right candidate will work closely with other scientists, business leaders, business intelligence engineers, and data engineers.
The key strategic objectives for this role include:
- Work with the AWS SMGS organization to provide data- and model-driven guidance and recommendations on business questions posed by leadership.
- Interact with stakeholders, both technical and non-technical, to gather business requirements and translate them into concrete requirements for data science projects
- Identify opportunities to measure and improve productivity with the end goal of driving growth.
- Own data science projects end-to-end, demonstrating skill in defining key research questions, working with multiple data sources, evaluating competing models, and interpreting and communicating results.
If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, we want to talk to you!
BASIC QUALIFICATIONS
- 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
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Superior verbal and written communication skills, ability to convey rigorous mathematical concepts to non-experts
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.