As part of GFT's mission to streamline, optimize, and drive financial excellence through technology, you'll work closely with Corporate FP&A teams and cross-functional stakeholders to develop scalable data science solutions that support strategic finance objectives. Your work will contribute directly to enhancing reporting, planning, cost allocations, and business enablement tools that empower finance teams across the organization.
We are looking for a results-driven scientist to join our team in Seattle. You will be interacting FP&A teams, product managers, software engineers, data engineers, UX designers, and front end engineers to understand the key requirements, and lead the design and development of data science products and services. This is a great opportunity for anyone who is looking to drive the next generation of data science architecture, design, and development that scale and support the overall Amazon business growth and FP&A function.
The key strategic objectives for this role include:
- Work with the Corporate FP&A 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!
About the team
GFT team is a Finance Technology team within Corp FP&A. On our team, we enjoy a unique vantage point into everything happening within Amazon. As part of that, this role would be part of a team that is responsible for Company’s enterprise-wide financial planning & analytics environment. The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership. If you’re passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!
BASIC QUALIFICATIONS
- 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
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
- Master's degree
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience and working knowledge in Finance and Accounting.
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.