Data Scientist II, Amazon Stores Finance Science
Data Scientist II, Amazon Stores Finance Science
Posted on :
10-05-2025
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1 Vacancy
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Job Description
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 data scientist to lead high visibility initiatives for forecasting Amazon Stores financials. You will develop new sciencebased forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. Youll design and implement automated endtoend 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 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 and/or statistics techniques to create scalable solutions for business problems
Design develop and evaluate new models for forecasting problems
Work with technical and nontechnical 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
2 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
The ability to implement models and tools through the use of scripting languages (e.g. Python R)
PhD or Masters Degree plus 4 years of experience in Statistics Machine Learning Mathematics Economics or related field
Experience with Time Series Modeling and/or Predictive Modeling techniques
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
Demonstrated research experience in either Time series forecasting or ML Forecasting with a proven track record of publications in conferences and journals
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 for more information. If the country/region youre applying in isnt 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 $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores financials. You will develop new sciencebased forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. Youll design and implement automated endtoend 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 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 and/or statistics techniques to create scalable solutions for business problems
Design develop and evaluate new models for forecasting problems
Work with technical and nontechnical 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
2 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
The ability to implement models and tools through the use of scripting languages (e.g. Python R)
PhD or Masters Degree plus 4 years of experience in Statistics Machine Learning Mathematics Economics or related field
Experience with Time Series Modeling and/or Predictive Modeling techniques
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
Demonstrated research experience in either Time series forecasting or ML Forecasting with a proven track record of publications in conferences and journals
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 for more information. If the country/region youre applying in isnt 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 $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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