Manager, Data Science, P2 Science, Data, and Insights
Manager, Data Science, P2 Science, Data, and Insights
Posted on :
25-06-2025
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1 Vacancy
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Job Description
Are you looking for a role where you have the opportunity to shape Amazons Pricing and Promotions using data science analytics and insights If so our role in Amazons Pricing & Promotions Science Data and Insights organization is for you.
Amazons Pricing & Promotions Science Data and Insights organization is seeking a highly analytical Data Science Manager. In this role you will lead a team that develops builds and delivers analytics insights scientific studies analyses automated analytics insights anomaly detection tools and technologies which will deliver the best prices and experiences to our customers. Data science and analytics is at the core of Amazons culture and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity and inspires their team. We are looking for an experienced data science leader with broad and deep scientific and analytical abilities that is customer and delivery-focused and a has a track record of earning your customers and peers trust. To be successful in this role you will need a successful track record of leading data science and analytics teams strong business acumen statistics experimentation and an entrepreneurial mindset.
Key job responsibilities
- You will lead the data science business intelligence and insights team for your employees business and its customers.
- Mentor and grow your employees.
- Develop build and deliver scientific and analytical reporting models and business strategy.
- Lead modeling and experimentation deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership as well as published literature.
- Leverage LLMs to deploy automate and generate Insights and drive growth discussions with Product teams.
- Produce written scientific recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent simplify and automate your teams products tools services and methodologies. Improving back-end data sources and models for increased accuracy and simplicity.
- Recognize and adopt the best practices in data science reporting analyses data quality and modeling.
- 5 years of building quantitative solutions as a scientist or science manager experience
- 2 years of scientists or machine learning engineers management experience
- 5 years of applying statistical models for large-scale application and building automated analytical systems experience
- Knowledge of Python or R or other scripting language
- 5 year leading analytics or insights teams.
- Experience in a least one area of Machine Learning (NLP Regression Classification Clustering or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
- 5 years leading a team that delivers counterfactual analyses multivariate testing and automating PB level decision models for business recommendations.
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 $142300/year in our lowest geographic market up to $272400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
Amazons Pricing & Promotions Science Data and Insights organization is seeking a highly analytical Data Science Manager. In this role you will lead a team that develops builds and delivers analytics insights scientific studies analyses automated analytics insights anomaly detection tools and technologies which will deliver the best prices and experiences to our customers. Data science and analytics is at the core of Amazons culture and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity and inspires their team. We are looking for an experienced data science leader with broad and deep scientific and analytical abilities that is customer and delivery-focused and a has a track record of earning your customers and peers trust. To be successful in this role you will need a successful track record of leading data science and analytics teams strong business acumen statistics experimentation and an entrepreneurial mindset.
Key job responsibilities
- You will lead the data science business intelligence and insights team for your employees business and its customers.
- Mentor and grow your employees.
- Develop build and deliver scientific and analytical reporting models and business strategy.
- Lead modeling and experimentation deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership as well as published literature.
- Leverage LLMs to deploy automate and generate Insights and drive growth discussions with Product teams.
- Produce written scientific recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent simplify and automate your teams products tools services and methodologies. Improving back-end data sources and models for increased accuracy and simplicity.
- Recognize and adopt the best practices in data science reporting analyses data quality and modeling.
- 5 years of building quantitative solutions as a scientist or science manager experience
- 2 years of scientists or machine learning engineers management experience
- 5 years of applying statistical models for large-scale application and building automated analytical systems experience
- Knowledge of Python or R or other scripting language
- 5 year leading analytics or insights teams.
- Experience in a least one area of Machine Learning (NLP Regression Classification Clustering or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
- 5 years leading a team that delivers counterfactual analyses multivariate testing and automating PB level decision models for business recommendations.
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 $142300/year in our lowest geographic market up to $272400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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:
Manager
Employment Type
Full-Time
Key Skills
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