Sr Data Scientist Everyday Essentials Brand Health
Sr Data Scientist Everyday Essentials Brand Health
Posted on :
01-05-2025
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1 Vacancy
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Job Description
Are you passionate about working with Amazonscale data deep analytics and data science Do you thrive on developing innovative models and insights that elevate customer shopping experience while ensuring brand integrity and product accuracy If so join our team and play a pivotal role in shaping the future of Amazons Consumables shopping experience!
We are looking for an experienced and selfdriven Senior Data Scientist to help us leverage Amazonscale data to improve the accuracy integrity and presentation of Consumables everyday essentials. If you are passionate about using data science to enhance customer shopping experiences protect top brands and ensure their products are represented accurately this role is for you! In this role you will further the development and application of modeling and analytics methods to examine the complex data flows of customer shopping data and brand catalogs to generate actionable insights for a wide breadth of product teams. You will lead the development improvement and expansion of Amazons systems and mechanisms for protecting and ensuring the accuracy of our everyday essentials product offerings. You will make high judgment decisions present persuasive data cases to executive leadership and have an enduring impact on the future of Amazons Consumables online shopping experience.
You will work closely with a highenergy team consisting of data science data engineering business intelligence engineering and product management tech as well as crossfunctionally across many partner teams. You will lead your teammates and partner teams through high complexity with data modeling to arrive at clear strategic direction. The tools you build will have visibility at the highest levels of Amazons leadership team.
Key job responsibilities
Oversee multiple model development programs in various stages of the lifecycle from conception to development to launch expansion and retirement.
Lead and direct engineering of massive datasets effective exploratory data analysis and model building using industry standard AI/ML models.
Define creative highquality longterm product roadmaps based on team strategy and vision.
Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.
Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers.
Innovate by adapting new modeling techniques and procedures.
Manage prioritization and tradeoffs among customer experience performance and operational support load.
Design A/B tests and conduct statistical analysis on their results
Mentor junior engineers and scientists
Research and implement ML and statistical approaches to add value to the business
A day in the life
As a Senior Data Scientist in the Everyday Essential Brand Health (EEBH) team your day will be dynamic and impactful. Your day might start with a review of current priorities which were aligned with your PMT partners. Your morning could involve diving into an experiments results analyzing the impact of a mechanism on product discoverability. Midday you might collaborate with PMTs to review the result of a detection model and provide datadriven recommendations to optimize outputs. In the afternoon you could be partnering with BIEs to enhance data pipelines or presenting insights to leadership to drive strategic decisions. Throughout the day youll be leveraging the latest data science techniques to solve complex problems ensuring Amazon customers receive an accurate and trustworthy shopping experience for everyday essentials.
About the team
The Everyday Essential Brand Health (EEBH) team is dedicated to earning the trust of both customers and brand owners by ensuring the accurate and highquality presentation of Consumables everyday essentials on Amazon. Our mission is to protect top brands maintain product integrity and enhance the shopping experience by leveraging datadriven insights and scalable solutions. We work at the intersection of data science engineering and product management to develop mechanisms that safeguard brand representation and ensure customers can confidently discover and purchase essential products with trust and ease.
6 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
6 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 with machine learning and emerging modeling methods.
Experience managing data pipelines
Experience as a leader and mentor on a data science team
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 $143300/year in our lowest geographic market up to $247600/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 an experienced and selfdriven Senior Data Scientist to help us leverage Amazonscale data to improve the accuracy integrity and presentation of Consumables everyday essentials. If you are passionate about using data science to enhance customer shopping experiences protect top brands and ensure their products are represented accurately this role is for you! In this role you will further the development and application of modeling and analytics methods to examine the complex data flows of customer shopping data and brand catalogs to generate actionable insights for a wide breadth of product teams. You will lead the development improvement and expansion of Amazons systems and mechanisms for protecting and ensuring the accuracy of our everyday essentials product offerings. You will make high judgment decisions present persuasive data cases to executive leadership and have an enduring impact on the future of Amazons Consumables online shopping experience.
You will work closely with a highenergy team consisting of data science data engineering business intelligence engineering and product management tech as well as crossfunctionally across many partner teams. You will lead your teammates and partner teams through high complexity with data modeling to arrive at clear strategic direction. The tools you build will have visibility at the highest levels of Amazons leadership team.
Key job responsibilities
Oversee multiple model development programs in various stages of the lifecycle from conception to development to launch expansion and retirement.
Lead and direct engineering of massive datasets effective exploratory data analysis and model building using industry standard AI/ML models.
Define creative highquality longterm product roadmaps based on team strategy and vision.
Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.
Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers.
Innovate by adapting new modeling techniques and procedures.
Manage prioritization and tradeoffs among customer experience performance and operational support load.
Design A/B tests and conduct statistical analysis on their results
Mentor junior engineers and scientists
Research and implement ML and statistical approaches to add value to the business
A day in the life
As a Senior Data Scientist in the Everyday Essential Brand Health (EEBH) team your day will be dynamic and impactful. Your day might start with a review of current priorities which were aligned with your PMT partners. Your morning could involve diving into an experiments results analyzing the impact of a mechanism on product discoverability. Midday you might collaborate with PMTs to review the result of a detection model and provide datadriven recommendations to optimize outputs. In the afternoon you could be partnering with BIEs to enhance data pipelines or presenting insights to leadership to drive strategic decisions. Throughout the day youll be leveraging the latest data science techniques to solve complex problems ensuring Amazon customers receive an accurate and trustworthy shopping experience for everyday essentials.
About the team
The Everyday Essential Brand Health (EEBH) team is dedicated to earning the trust of both customers and brand owners by ensuring the accurate and highquality presentation of Consumables everyday essentials on Amazon. Our mission is to protect top brands maintain product integrity and enhance the shopping experience by leveraging datadriven insights and scalable solutions. We work at the intersection of data science engineering and product management to develop mechanisms that safeguard brand representation and ensure customers can confidently discover and purchase essential products with trust and ease.
6 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
6 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 with machine learning and emerging modeling methods.
Experience managing data pipelines
Experience as a leader and mentor on a data science team
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 $143300/year in our lowest geographic market up to $247600/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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