Data Scientist II
Data Scientist II
Posted on :
21-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
21-04-2025
Job Description
Do you want a role with deep meaning and the ability to make a major impact As part of Intelligent Talent Acquisition (ITA) youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy for Amazon Talent Acquisition operations. ITA is an industryleading people science and technology organization made up of scientists engineers analysts product professionals and more all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity at the right location and at exactly the right time. Youll work on stateoftheart research advanced software tools new AI systems and machine learning algorithms leveraging Amazons inhouse tech stack to bring innovative solutions to life. Join ITA in using powerful technologies to transform the hiring landscape and make a meaningful difference in peoples lives. Together we can solve the worlds toughest hiring problems. The Data Scientist will be part of the team that will pioneer the next generation of Amazons hiring practices through advanced scientific methods and innovative modeling approaches. The scientist will develop ML/statistical models for prediction forecasting anomaly detection process monitoring etc. Design experiments to study causality and / or build simulation models (discrete systems or agent based) to optimize workforce planning drive strategic decisionmaking and develop novel approaches for solving labor market challenges. Key responsibilities include building scalable statistical/ML models that provide actionable hiring insights developing agentbased systems for process simulation and to enable experimentation and generally creating adaptive models / frameworks / systems that respond to market dynamics. They will leverage MLOps practices to deploy and maintain production systems while providing technical enablement across teams. The Data Scientist will closely collaborate with Product Software Engineering Data engineering and Business Intelligence Engineering teams following agile framework to deliver on Amazons hiring promise. This position will be instrumental in shaping Amazons scientific approach to workforce planning and hiring optimization.
Key job responsibilities
oLead quantitative analyses and develop statistical models using Python R and other programming languages to:
Solve complex business challenges through datadriven insights
Identify patterns and trends in large datasets
Create predictive models to optimize business outcomes
Implement and validate statistical methodologies
oDevelop comprehensive technical documentation including:
Detailed methodology reports
Model specifications and assumptions
Statistical analysis procedures
Validation results and model performance metrics
Implementation guidelines and recommendations
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.
Key job responsibilities
oLead quantitative analyses and develop statistical models using Python R and other programming languages to:
Solve complex business challenges through datadriven insights
Identify patterns and trends in large datasets
Create predictive models to optimize business outcomes
Implement and validate statistical methodologies
oDevelop comprehensive technical documentation including:
Detailed methodology reports
Model specifications and assumptions
Statistical analysis procedures
Validation results and model performance metrics
Implementation guidelines and recommendations
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.
Employment Type
Full-Time
Key Skills
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