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Applied Scientist

Post Date:Oct 12, 2018Type:Contractor
Start Date:10/12/2018Salary:
Location:US-WA-Seattle, WA Job Reference:
Skills:

Title: Applied Scientist

Location: Seattle, WA

Description:

Amazon's risk and audit team are looking for an experienced Machine Learning Scientist to envision, design, and build the next generation of screening science capabilities that have a direct impact on all Amazon’s global business, and ensuring a safe experience for customers. The scientist will work with massive data sets across all of Amazon's businesses, globally, and will also have the unique opportunity to review and improve the existing machine learning models across a variety of Amazon's businesses. The scientist will work together with a multi-disciplinary team of scientists, engineers, technical project managers, and subject matter experts, to improve our customer experience using machine learning and data science.



This is a senior role and we expect this person to be able to communicate scientific results to Amazon stakeholders including senior management.



We are looking for candidates who thrive in a fast-paced environment and want to invent the future.



required skills

- Ph.D. focused on Machine Learning/AI or in a related field.

- Experience with various algorithms, libraries, and approaches.

- Experience in or more major programming languages and cloud computing.

- Solid communication and writing skills.

- 5+ years of experience.



preferred skills

- Ph.D. focused on Machine Learning/AI.

- Proficient in engineering.

- Experience handling terabyte size datasets.

- Experience working with distributed systems and grid computing.

- Experience working with risk, compliance, audit, and finance.

- Experience with statistics, econometrics, and data analysis.

- 10+ years of experience.



***Qualification Notes***

The manager is currently OOO but plans to complete interviews when he returns mid-October with the slated start date for either November 1 or November 15. 



This contractor will work on machine learning- with day to day duties including experimentation, coding and 1 day a week will have to communicate results to non-tech and tech audiences. 



Create machine learning models

Experience with Machine Learning and Deep Learning techniques for algorithmic development and statistical modeling

Experience using Java, C++, or other programming language, as well as with Python or similar scripting language;

Graduate degree in Engineering, Computer Sciences, or Mathematics along with data science experience

Some coding experience primarily python.

Experience building and classifying engines

Strong fundamentals in problem solving, algorithm design and complexity analysis;

· Strong personal interest in learning, researching, and creating new technologies with high customer impact;

· Experience with defining research and development practices in an applied environment;

· Proven track record of production achievements, handling gigabyte and terabyte size datasets;

· Strong fundamentals in problem solving, algorithm design and complexity analysis;

· Strong personal interest in learning, researching, and creating new technologies with high customer impact;

· Experience with defining research and development practices in an applied environment;

· Proven track record in technically leading and mentoring scientists;

· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

 



Job Description:

Title: Applied Scientist

Location: Seattle, WA

Description:

Amazon's risk and audit team are looking for an experienced Machine Learning Scientist to envision, design, and build the next generation of screening science capabilities that have a direct impact on all Amazon’s global business, and ensuring a safe experience for customers. The scientist will work with massive data sets across all of Amazon's businesses, globally, and will also have the unique opportunity to review and improve the existing machine learning models across a variety of Amazon's businesses. The scientist will work together with a multi-disciplinary team of scientists, engineers, technical project managers, and subject matter experts, to improve our customer experience using machine learning and data science.



This is a senior role and we expect this person to be able to communicate scientific results to Amazon stakeholders including senior management.



We are looking for candidates who thrive in a fast-paced environment and want to invent the future.



required skills

- Ph.D. focused on Machine Learning/AI or in a related field.

- Experience with various algorithms, libraries, and approaches.

- Experience in or more major programming languages and cloud computing.

- Solid communication and writing skills.

- 5+ years of experience.



preferred skills

- Ph.D. focused on Machine Learning/AI.

- Proficient in engineering.

- Experience handling terabyte size datasets.

- Experience working with distributed systems and grid computing.

- Experience working with risk, compliance, audit, and finance.

- Experience with statistics, econometrics, and data analysis.

- 10+ years of experience.



***Qualification Notes***

The manager is currently OOO but plans to complete interviews when he returns mid-October with the slated start date for either November 1 or November 15. 



This contractor will work on machine learning- with day to day duties including experimentation, coding and 1 day a week will have to communicate results to non-tech and tech audiences. 



Create machine learning models

Experience with Machine Learning and Deep Learning techniques for algorithmic development and statistical modeling

Experience using Java, C++, or other programming language, as well as with Python or similar scripting language;

Graduate degree in Engineering, Computer Sciences, or Mathematics along with data science experience

Some coding experience primarily python.

Experience building and classifying engines

Strong fundamentals in problem solving, algorithm design and complexity analysis;

· Strong personal interest in learning, researching, and creating new technologies with high customer impact;

· Experience with defining research and development practices in an applied environment;

· Proven track record of production achievements, handling gigabyte and terabyte size datasets;

· Strong fundamentals in problem solving, algorithm design and complexity analysis;

· Strong personal interest in learning, researching, and creating new technologies with high customer impact;

· Experience with defining research and development practices in an applied environment;

· Proven track record in technically leading and mentoring scientists;

· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

 





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