Senior Data Scientist Amazon Partner Experience and Growth
Senior Data Scientist Amazon Partner Experience and Growth
Posted on :
24-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 143300 - 247600
Vacancy
1 Vacancy
Posted on :
24-04-2025
Job Description
Amazon Worldwide Advertising is one of Amazons fastest growing and most profitable businesses. Partner Experience and Growth (PEG) team leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers i.e. the advertisers. The Science charter in PEG spearheads these efforts by optimizing the onboarding journey and providing datadriven insights to agencies and tool providers in the Amazon Ads ecosystem. Our proprietary tools provide granular visibility into whats working across audiences creatives targeting strategies and more. These custom algorithmic recommendations uncover growth opportunities previously hidden in the data fog. Partners can confidently allocate budgets based on predicted performance unlocking improved return on ad spend. And advertisers reap the benefits through expanded brand awareness increased sales and stronger customer loyalty over time.
Key job responsibilities
You will participate in driving features from idea to deployment and your work will directly impact millions of customers.
You are going to love this job because you will:
Map business requirements and customer needs to a scientific problem.
Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.
Research design and implement scalable machine learning (ML) natural language or supervised and unsupervised models to solve problems that matter to our customers in an iterative fashion.
Mentor and develop junior scientists and developers who work on science problems in the same organization.
Stay informed on the latest machine learning natural language and/or artificial intelligence trends and make presentations to the larger engineering and science communities.
Communicate complex technical concepts effectively to both technical and nontechnical stakeholders providing clear explanations on proposed solutions and their potential impact.
About the team
The Partner Science teams vision is to drive the Advertising Partner flywheel by infusing sciencebased interventions at all stages of their journey with Amazon Ads including demand generation partner selection partner engagement partner competition and innovation ultimately improving the partner managed advertiser experience. We drive the vision by attracting and growing top scientist talents in an innovative experimental and collaborative culture.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Bachelors degree
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
6 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
Experience working on science models that are in production for LLMs and causal inference
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.
Key job responsibilities
You will participate in driving features from idea to deployment and your work will directly impact millions of customers.
You are going to love this job because you will:
Map business requirements and customer needs to a scientific problem.
Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.
Research design and implement scalable machine learning (ML) natural language or supervised and unsupervised models to solve problems that matter to our customers in an iterative fashion.
Mentor and develop junior scientists and developers who work on science problems in the same organization.
Stay informed on the latest machine learning natural language and/or artificial intelligence trends and make presentations to the larger engineering and science communities.
Communicate complex technical concepts effectively to both technical and nontechnical stakeholders providing clear explanations on proposed solutions and their potential impact.
About the team
The Partner Science teams vision is to drive the Advertising Partner flywheel by infusing sciencebased interventions at all stages of their journey with Amazon Ads including demand generation partner selection partner engagement partner competition and innovation ultimately improving the partner managed advertiser experience. We drive the vision by attracting and growing top scientist talents in an innovative experimental and collaborative culture.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Bachelors degree
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
6 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
Experience working on science models that are in production for LLMs and causal inference
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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