Data Scientist II 12 month FTC AI Innovation
Data Scientist II 12 month FTC AI Innovation
Posted on :
24-04-2025
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1 Vacancy
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Job Description
The Amazon ORC Analytics team is looking for a creative problem solver analytical and technically skilled Business Intelligence Engineer to join our dynamic team.
This role requires an individual with excellent statistical and analytical abilities deep knowledge of business intelligence solutions and data engineering practices as well as proficiency in hypothesis testing including parametric and nonparametric tests and is familiar with A/B testing understanding factors like random assignment statistical power pvalues confidence intervals potential biases along with strong grasp of frequentist statistics.
The ideal candidate will help us to build data pipelines and robust metrics decks perform advanced statistical analysis and measure the success of our model deployments. If you have a knack for translating complex data insights into actionable strategies and can communicate these effectively to both technical and nontechnical audiences wed love to hear from you!
Key job responsibilities
Collaborate with crossfunctional teams to understand business needs and provide datadriven recommendations.
Ability to clearly articulate assumptions methodologies results and implications.
Able to present deep dives and analysis to both technical and nontechnical stakeholders ensuring clarity and understanding.
Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls.
Use visualization tools and develop data pipelines to publish the metrics to internal and external stake holders
Implement of various sampling techniques with the ability to handle issues arising from sampling like sampling biases.
Complete statistical tests like hypothesis testing including parametric and nonparametric tests and is familiar with A/B testing.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Experience with machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance
Experience applying theoretical models in an applied environment
Experience working as a Data Scientist
Experience with data scripting languages (e.g. SQL Python R etc. or statistical/mathematical software (e.g. R SAS or Matlab)
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 opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
This role requires an individual with excellent statistical and analytical abilities deep knowledge of business intelligence solutions and data engineering practices as well as proficiency in hypothesis testing including parametric and nonparametric tests and is familiar with A/B testing understanding factors like random assignment statistical power pvalues confidence intervals potential biases along with strong grasp of frequentist statistics.
The ideal candidate will help us to build data pipelines and robust metrics decks perform advanced statistical analysis and measure the success of our model deployments. If you have a knack for translating complex data insights into actionable strategies and can communicate these effectively to both technical and nontechnical audiences wed love to hear from you!
Key job responsibilities
Collaborate with crossfunctional teams to understand business needs and provide datadriven recommendations.
Ability to clearly articulate assumptions methodologies results and implications.
Able to present deep dives and analysis to both technical and nontechnical stakeholders ensuring clarity and understanding.
Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls.
Use visualization tools and develop data pipelines to publish the metrics to internal and external stake holders
Implement of various sampling techniques with the ability to handle issues arising from sampling like sampling biases.
Complete statistical tests like hypothesis testing including parametric and nonparametric tests and is familiar with A/B testing.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Experience with machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance
Experience applying theoretical models in an applied environment
Experience working as a Data Scientist
Experience with data scripting languages (e.g. SQL Python R etc. or statistical/mathematical software (e.g. R SAS or Matlab)
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 opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
Required Experience:
Contract
Employment Type
Full-Time
Key Skills
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