Research Scientist
Research Scientist
Posted on :
28-04-2025
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1 Vacancy
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Job Description
The Worldwide Capacity Planning team is looking for a Research Scientist for their Forecasting Science team. Here youll develop cuttingedge algorithms that transform complex analytical insights into powerful business solutions. Youll design and implement innovative and automated endtoend forecasting solutions to support planning and address critical demand challenges and service quality metrics.
The ideal candidate will be an innovative problemsolver with exceptional communication skills and passionate about turning data into meaningful organizational transformation leveraging techniques like machine learning econometric modeling time series forecasting statistical inference and optimization to directly impact our bottom line and elevate our global customer service capabilities.
Key job responsibilities
Drive model development and improvement with a combination of econometrics statistics machine learning and analytical techniques to create scalable solutions for business problems.
Collaborate with product software engineering research science data engineering and business leaders to build algorithms and models.
Design develop and evaluate of highly innovative models for forecasting problems.
Identify business problems and formulate scientific solutions.
Use the best practices in science: data integrity design test and implementation and documentation.
Contribute to Amazons Intellectual Property through patents and internal and external publications.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data and we collaborate with engineering science and product teams to foster an innovative learning environment.
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Benefits summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
Worldwide Capacity Planning optimizes capacity across operations sites that help minimize customer wait time and route customers to the associate who can best resolve their issue on the first contact. We build forecasting models and optimization tools that help predict the hourly capacity requirement including when there are new device or game launches or when there is a special event such as Prime Day.
PhD or equivalent Masters Degree plus 5 years of experience in Statistics Mathematics Machine Learning Economics or related field.
2 years of experience of building models for business application.
The ability to implement models and tools through the use of modeling languages (e.g. Python R Matlab) or more traditional languages (Java C).
Experience with Time Series Modeling and/or Predictive Modeling techniques.
Experience/Familiarity with Hierarchical Forecasting.
Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists engineering teams and business audiences.
Demonstrated research experience in either Causal Inference Bayesian Modeling or Optimization with a proven track record of publications at wellregarded conferences and journals.
Experience with cloud computing products.
Expertise on a broad range of machine learning methods 4 years of experience of building machine learning models for business applications.
Excellent problemsolving ability. Demonstrable track record of dealing well with ambiguity prioritizing needs and delivering results in a dynamic environment.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 $136000/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.
The ideal candidate will be an innovative problemsolver with exceptional communication skills and passionate about turning data into meaningful organizational transformation leveraging techniques like machine learning econometric modeling time series forecasting statistical inference and optimization to directly impact our bottom line and elevate our global customer service capabilities.
Key job responsibilities
Drive model development and improvement with a combination of econometrics statistics machine learning and analytical techniques to create scalable solutions for business problems.
Collaborate with product software engineering research science data engineering and business leaders to build algorithms and models.
Design develop and evaluate of highly innovative models for forecasting problems.
Identify business problems and formulate scientific solutions.
Use the best practices in science: data integrity design test and implementation and documentation.
Contribute to Amazons Intellectual Property through patents and internal and external publications.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data and we collaborate with engineering science and product teams to foster an innovative learning environment.
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Benefits summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
Worldwide Capacity Planning optimizes capacity across operations sites that help minimize customer wait time and route customers to the associate who can best resolve their issue on the first contact. We build forecasting models and optimization tools that help predict the hourly capacity requirement including when there are new device or game launches or when there is a special event such as Prime Day.
PhD or equivalent Masters Degree plus 5 years of experience in Statistics Mathematics Machine Learning Economics or related field.
2 years of experience of building models for business application.
The ability to implement models and tools through the use of modeling languages (e.g. Python R Matlab) or more traditional languages (Java C).
Experience with Time Series Modeling and/or Predictive Modeling techniques.
Experience/Familiarity with Hierarchical Forecasting.
Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists engineering teams and business audiences.
Demonstrated research experience in either Causal Inference Bayesian Modeling or Optimization with a proven track record of publications at wellregarded conferences and journals.
Experience with cloud computing products.
Expertise on a broad range of machine learning methods 4 years of experience of building machine learning models for business applications.
Excellent problemsolving ability. Demonstrable track record of dealing well with ambiguity prioritizing needs and delivering results in a dynamic environment.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 $136000/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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