Data Scientist II, Amazon Special Projects
Data Scientist II, Amazon Special Projects
Posted on :
17-05-2025
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1 Vacancy
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Job Description
Innovators wanted! Are you an entrepreneur A builder A dreamer This role is part of an Amazon Special Projects team that takes the companys Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If youre interested in innovating at scale to address big challenges in the world this is the team for you.
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We are constantly learning through programs that are local regional and global. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
Our team highly values worklife balance mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Key job responsibilities
* Deliver data analyses that optimize overall team process and guide decisionmaking
* Identify key metrics that are drivers to achieve team goals; work with senior stakeholders to refine your results
* Use modern statistical methods to highlight insights for predictive & generative ML models and assay process
* Perform correlation analysis significance testing and simulation on high and lowfidelity datasets for various types of readouts
* Generate reports with tables and visualization that support operational cycle analysis and oneoff POC experiments
* Deep dive to understand source of anomalies across a variety of datasets including lowlevel sequencing read data
* Collaborate with multidisciplinary domain experts to support your findings and their experiments
* Write welltested scripts that can be promoted by our software teams to production pipelines
* Learn about new statistical methods for our domain and adopt them in your work
* Work fluently in SQL and Python. Be skilled in generating compelling visualizations
A day in the life
New data has just landed and promoted to our datalake. You load the data and verify its overall integrity by visualizing variation across target subsets. You realize we may have made progress toward our goals and begin to test the validity of your nominal results. At midday you grab lunch with new coworkers and learn about their fields or weird interests (there are many). You generate visualizations for the entire dataset and perform significance tests that reinforce specific findings. You meet with peers in the afternoon to discuss your findings and breakdown the remaining tasks to finalize your group report!
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 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.
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We are constantly learning through programs that are local regional and global. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
Our team highly values worklife balance mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Key job responsibilities
* Deliver data analyses that optimize overall team process and guide decisionmaking
* Identify key metrics that are drivers to achieve team goals; work with senior stakeholders to refine your results
* Use modern statistical methods to highlight insights for predictive & generative ML models and assay process
* Perform correlation analysis significance testing and simulation on high and lowfidelity datasets for various types of readouts
* Generate reports with tables and visualization that support operational cycle analysis and oneoff POC experiments
* Deep dive to understand source of anomalies across a variety of datasets including lowlevel sequencing read data
* Collaborate with multidisciplinary domain experts to support your findings and their experiments
* Write welltested scripts that can be promoted by our software teams to production pipelines
* Learn about new statistical methods for our domain and adopt them in your work
* Work fluently in SQL and Python. Be skilled in generating compelling visualizations
A day in the life
New data has just landed and promoted to our datalake. You load the data and verify its overall integrity by visualizing variation across target subsets. You realize we may have made progress toward our goals and begin to test the validity of your nominal results. At midday you grab lunch with new coworkers and learn about their fields or weird interests (there are many). You generate visualizations for the entire dataset and perform significance tests that reinforce specific findings. You meet with peers in the afternoon to discuss your findings and breakdown the remaining tasks to finalize your group report!
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 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.
Employment Type
Full-Time
Key Skills
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