Data Science Manager, Amazon Kids+
Data Science Manager, Amazon Kids+
Posted on :
29-07-2025
Employer Active
1 Vacancy
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Job Description
The Amazon Kids team builds innovative products and services for children ages 3-12 and their caregivers. Kids is available across Amazon Fire Tablets Fire TV Echo devices and Kindles and is an integral component to Kids Edition Devices (Tablet Echo and Kindle) which are built from the ground up just for children. As our Data Science Manager you will lead a team of Data Scientists and Business Intelligence Engineers responsible for business forecasts planning and retention modeling. You will drive the data and analytics strategy of the organization. The right candidate will have experience building teams growing individuals and working across a diverse set of stakeholders.
Key job responsibilities
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.
About the team
Youll be joining a creative fast-paced entrepreneurial environment where youll be at the center of Amazon innovation. The Amazon Kids team has won prestigious awards including the KAPi award for best hardware and service and continues to push boundaries in creating revolutionary experiences for parents and kids.
- 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
- 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
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.
Key job responsibilities
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.
About the team
Youll be joining a creative fast-paced entrepreneurial environment where youll be at the center of Amazon innovation. The Amazon Kids team has won prestigious awards including the KAPi award for best hardware and service and continues to push boundaries in creating revolutionary experiences for parents and kids.
- 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
- 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
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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