Data Scientist II, Workforce Intelligence
Amazon
Data Scientist II, Workforce Intelligence
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), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading 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. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.Key job responsibilitieso Lead quantitative analyses and develop statistical models using Python, R, and other programming languages to: Solve complex business challenges through data-driven insights Identify patterns and trends in large datasets Create predictive models to optimize business outcomes Implement and validate statistical methodologieso Develop comprehensive technical documentation including: Detailed methodology reports Model specifications and assumptions Statistical analysis procedures Validation results and model performance metrics Implementation guidelines and recommendations
Locations
- United States, VA, Arlington, Arlington, VA, United States
Salary
Estimated Salary Rangehigh confidence
140,000 - 210,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experienceintermediate
- - 2+ years of data scientist experienceintermediate
- - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experienceintermediate
- - Experience applying theoretical models in an applied environmentintermediate
Required Qualifications
- - 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 (experience, 3 years)
- - 2+ years of data scientist experience (experience, 2 years)
- - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience (experience, 3 years)
- - Bachelor's degree (degree)
- - Experience applying theoretical models in an applied environment (experience)
Preferred Qualifications
- - Experience in Python, Perl, or another scripting language (experience)
- - Experience in a ML or data scientist role with a large technology company (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- o Lead quantitative analyses and develop statistical models using Python, R, and other programming languages to:
- Solve complex business challenges through data-driven insights
- Identify patterns and trends in large datasets
- Create predictive models to optimize business outcomes
- Implement and validate statistical methodologies
- o Develop comprehensive technical documentation including:
- Detailed methodology reports
- Model specifications and assumptions
- Statistical analysis procedures
- Validation results and model performance metrics
- Implementation guidelines and recommendations
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Data Scientist II, Workforce Intelligence
Amazon
Data Scientist II, Workforce Intelligence
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), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading 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. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.Key job responsibilitieso Lead quantitative analyses and develop statistical models using Python, R, and other programming languages to: Solve complex business challenges through data-driven insights Identify patterns and trends in large datasets Create predictive models to optimize business outcomes Implement and validate statistical methodologieso Develop comprehensive technical documentation including: Detailed methodology reports Model specifications and assumptions Statistical analysis procedures Validation results and model performance metrics Implementation guidelines and recommendations
Locations
- United States, VA, Arlington, Arlington, VA, United States
Salary
Estimated Salary Rangehigh confidence
140,000 - 210,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experienceintermediate
- - 2+ years of data scientist experienceintermediate
- - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experienceintermediate
- - Experience applying theoretical models in an applied environmentintermediate
Required Qualifications
- - 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 (experience, 3 years)
- - 2+ years of data scientist experience (experience, 2 years)
- - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience (experience, 3 years)
- - Bachelor's degree (degree)
- - Experience applying theoretical models in an applied environment (experience)
Preferred Qualifications
- - Experience in Python, Perl, or another scripting language (experience)
- - Experience in a ML or data scientist role with a large technology company (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- o Lead quantitative analyses and develop statistical models using Python, R, and other programming languages to:
- Solve complex business challenges through data-driven insights
- Identify patterns and trends in large datasets
- Create predictive models to optimize business outcomes
- Implement and validate statistical methodologies
- o Develop comprehensive technical documentation including:
- Detailed methodology reports
- Model specifications and assumptions
- Statistical analysis procedures
- Validation results and model performance metrics
- Implementation guidelines and recommendations
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist II, Workforce Intelligence @ Amazon.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs