Data Scientist Topline Forecasting
Data Scientist Topline Forecasting
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Where will Amazons growth come from in the next year What about over the next five Which product lines are poised to quintuple in size Are we investing enough in our infrastructure or too much How do our customers react to changes in prices product selection or delivery times These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative passionate and resultsoriented Data Scientists to answer these questions. You will have an opportunity to own the longrun outlook for Amazons global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements build models using Amazons worldclass data systems and develop cuttingedge solutions for nonstandard problems.
Key job responsibilities
Develop new forecasting models or improve existing approaches using scalable techniques.
Extract data for analysis and model development from large complex datasets to explain demand trends.
Closely work with engineering teams to build scalable efficient systems that implement prototypes in production.
Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
Drive innovation and best practices in applied research across the Amazon research science community.
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
Bachelors degree
Masters degree
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Knowledge of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.
Experience with applied time series modeling causal inference or machine learning forecasting applications.
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.
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.
Key job responsibilities
Develop new forecasting models or improve existing approaches using scalable techniques.
Extract data for analysis and model development from large complex datasets to explain demand trends.
Closely work with engineering teams to build scalable efficient systems that implement prototypes in production.
Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
Drive innovation and best practices in applied research across the Amazon research science community.
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
Bachelors degree
Masters degree
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Knowledge of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.
Experience with applied time series modeling causal inference or machine learning forecasting applications.
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.
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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