Data Scientist, Project Dawn
Data Scientist, Project Dawn
Posted on :
08-08-2025
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1 Vacancy
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Job Description
Amazon Buy for Me is seeking a talented and experienced Data Scientist to join our data analytics team. This is a key technical role and we are seeking someone who is passionate about working on large-scale data challenges and driving innovation in ML/AI data science practice at scale that solves real-world customer issues.
This role is critical to ensuring strong analytical capabilities leveraging of emerging technologies building best practices in data science and collaborating with key stakeholders to support a deep understanding of the customer experience solving the analytical problems and product issues.
The ideal candidate will have extensive experience working in complex data and analytics environments at scale driving solutions to develop better data science practices. Experience with Machine Learning and other advanced analytics techniques is a must and you also need to be able to talk about these technical concepts in plain terms. The role requires both technical depth and the ability to lead and communicate effectively to stakeholders.
Key job responsibilities
Lead the adoption of data-driven and ML-enabled solutions across the analytics and business intelligence practice identifying high-impact opportunities to automate workflows improve decision-making and drive business outcomes.
Partner with product engineering science and business stakeholders to design and launch data products predictive models and reporting pipelines that enhance customer experience and operational efficiency.
Translate ambiguous or complex business problems into structured analytical approaches combining exploratory data analysis hypothesis testing and statistical modeling.
Develop and maintain scalable data pipelines data models and dashboards to support self-service analytics and executive reporting.
Implement data validation monitoring and experimentation frameworks to ensure the accuracy and reliability of metrics and model outputs.
Collaborate closely with data engineers to align on infrastructure data quality and performance optimization for analytics and ML use cases.
Mentor and support the growth of analysts BIEs and junior data scientists by sharing best practices in data science analytics engineering and experimentation.
Stay current on industry trends in business intelligence analytics and applied machine learning; champion adoption of scalable tools and methods where appropriate.
- 2 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
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 $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 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.
This role is critical to ensuring strong analytical capabilities leveraging of emerging technologies building best practices in data science and collaborating with key stakeholders to support a deep understanding of the customer experience solving the analytical problems and product issues.
The ideal candidate will have extensive experience working in complex data and analytics environments at scale driving solutions to develop better data science practices. Experience with Machine Learning and other advanced analytics techniques is a must and you also need to be able to talk about these technical concepts in plain terms. The role requires both technical depth and the ability to lead and communicate effectively to stakeholders.
Key job responsibilities
Lead the adoption of data-driven and ML-enabled solutions across the analytics and business intelligence practice identifying high-impact opportunities to automate workflows improve decision-making and drive business outcomes.
Partner with product engineering science and business stakeholders to design and launch data products predictive models and reporting pipelines that enhance customer experience and operational efficiency.
Translate ambiguous or complex business problems into structured analytical approaches combining exploratory data analysis hypothesis testing and statistical modeling.
Develop and maintain scalable data pipelines data models and dashboards to support self-service analytics and executive reporting.
Implement data validation monitoring and experimentation frameworks to ensure the accuracy and reliability of metrics and model outputs.
Collaborate closely with data engineers to align on infrastructure data quality and performance optimization for analytics and ML use cases.
Mentor and support the growth of analysts BIEs and junior data scientists by sharing best practices in data science analytics engineering and experimentation.
Stay current on industry trends in business intelligence analytics and applied machine learning; champion adoption of scalable tools and methods where appropriate.
- 2 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
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 $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 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.
Employment Type
Full-Time
Key Skills
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