WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.
We are looking for a research scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You'll design and implement innovative and automated end-to-end ML and statistical forecasting solutions that aim to transform financial planning for Amazon Stores.
The ideal candidate will be an innovative problem solver with strong business judgment, leveraging techniques such as machine learning, econometric modeling, time series forecasting and statistics to advance Amazon Stores' financial planning capabilities. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.
Key job responsibilities
Drive model development and improvement through machine learning, statistics, econometrics and analytical techniques to create scalable solutions for business problems
Design, develop and evaluate highly innovative models for forecasting problems
Work with technical and non-technical stakeholders across every step of science project life cycle
Collaborate with finance, product, data engineering, and software engineering teams to build models and algorithms
Develop an understanding of key business metrics/KPIs and connect them to levers that shape management decisions
Innovate by adapting new modeling techniques and procedures
Contribute to Amazon's science community through internal and external publications
- PhD or equivalent Master's Degree plus 4+ years of experience in Statistics, Machine Learning, Mathematics, Economics or related field
- 2+ years of experience building statistics or machine learning models for business applications
- The ability to implement models and tools through the use of scripting languages (e.g. Python, R)
- Experience with Time Series Modeling and/or Predictive Modeling techniques.- Demonstrated research experience in either Time series forecasting or ML Forecasting with a proven track record of publications in well-regarded conferences and journals
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Expertise in a broad range of statistics and machine learning methods
- 4+ years of experience building statistics or machine learning models for business applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/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.
