Data Scientist Creators
Data Scientist Creators
Posted on :
07-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
Are you a passionate Data Scientist (DS) ready to shape the future of digital content creation At Amazon were building Earths most desired destination for creators to monetize their unique skills inspire the next generation of customers and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazons ecosystem. Our team owns the entire Creator product suite ensuring a cohesive experience optimizing compensation structures and launching features that help creators achieve both monetary and nonmonetary goals.
Key job responsibilities
As a DS in our team you will:
* Collaborate with crossfunctional leaders from business development marketing product and engineering to implement measurable datadriven strategies
* Establish scalable efficient automated processes for large scale data analyses model development model validation and implementation.
* Perform largescale experimentation to identify hidden relationships between variables in large datasets
* Implement statistical machine learning or other mathematical methodologies to solve specific business problems
* Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data
* Foster a culture of continuous learning and innovation
The successful candidate is selfdriven and thrives in a fastpaced innovative environment. You have deep expertise in accessing manipulating analyzing and modeling large datasets across various platforms. You possess strong business acumen and excellent communication skills and use them to effectively translate business requirements into scientific solutions. You stay current with emerging technologies and implement them strategically.
About the team
Our team is dedicated to supporting new members. We have a broad mix of domain specialists (Economics Data Science Applied Science) experience levels and tenures and were building an environment that celebrates knowledge creation and sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a betterrounded professional and enable them to take on more complex tasks in the future.
Masters degree or above in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
2 years of machine learning statistical modeling data mining and analytics techniques experience
2 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
Experience in communicating technically at a level appropriate for the audience
2 years of data scientist experience
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 applying theoretical models in an applied environment
Experience implementing algorithms using both toolkits and selfdeveloped code
Experience with machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance
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
As a DS in our team you will:
* Collaborate with crossfunctional leaders from business development marketing product and engineering to implement measurable datadriven strategies
* Establish scalable efficient automated processes for large scale data analyses model development model validation and implementation.
* Perform largescale experimentation to identify hidden relationships between variables in large datasets
* Implement statistical machine learning or other mathematical methodologies to solve specific business problems
* Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data
* Foster a culture of continuous learning and innovation
The successful candidate is selfdriven and thrives in a fastpaced innovative environment. You have deep expertise in accessing manipulating analyzing and modeling large datasets across various platforms. You possess strong business acumen and excellent communication skills and use them to effectively translate business requirements into scientific solutions. You stay current with emerging technologies and implement them strategically.
About the team
Our team is dedicated to supporting new members. We have a broad mix of domain specialists (Economics Data Science Applied Science) experience levels and tenures and were building an environment that celebrates knowledge creation and sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a betterrounded professional and enable them to take on more complex tasks in the future.
Masters degree or above in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
2 years of machine learning statistical modeling data mining and analytics techniques experience
2 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
Experience in communicating technically at a level appropriate for the audience
2 years of data scientist experience
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 applying theoretical models in an applied environment
Experience implementing algorithms using both toolkits and selfdeveloped code
Experience with machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance
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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