Experienced Data Scientist and Physical Security Engineer for Amazon Devices - Utilizing Econometrics and Data-Driven Decision Making to Drive Business Growth
Introduction to Amazon and the Role
Amazon is the world's most customer-obsessed company, where people can find and discover anything they need to buy online. We hire the world's brightest minds, offering them a fast-paced, technologically complex, and friendly work environment. The Amazon Devices Buddy Product and Service team is the area of Amazon focused on building platforms that delight customers by eliminating friction they have in providing, entertaining, and managing the home and more. As a Physical Security Engineer and Data Scientist, you will play a critical role in supporting the development of device companion products and services, utilizing econometrics and data-driven decision making to drive business growth.
Job Summary
In this role, you will support multiple data science decision groups for device companion products based on various factors such as device cost, stock, traffic, affordability, inflation, and more. You will use Science and Tools created by the Device Economics team, such as conjoint analysis models, to deliver companion product recommendations. As part of the partner-facing arm of the team, you will own relationships with stakeholders to help improve end-users' experience and make the Partner System more data and science-driven. In parallel, you will work with Applied Scientists, Economists, and Software Developers to provide valuable feedback about partner issues to inform business solutions and increase the speed, quality, and scope behind our recommendations.
Key Responsibilities
Support multiple data science decision groups for device companion products based on various factors such as device cost, stock, traffic, affordability, inflation, and more
Use Science and Tools created by the Device Economics team, such as conjoint analysis models, to deliver companion product recommendations
Own relationships with stakeholders to help improve end-users' experience and make the Partner System more data and science-driven
Work with Applied Scientists, Economists, and Software Developers to provide valuable feedback about partner issues to inform business solutions and increase the speed, quality, and scope behind our recommendations
Claim ownership of projects to drive progress on Choice Science itself
Essential Qualifications
To be successful in this role, you will need to have:
3+ years of data scientist experience
3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab, etc.)
3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that influence their performance
Experience applying theoretical models in an applied environment
3+ years of experience in a partner or customer-facing professional or scientist role, and experience in business operations
Preferred Qualifications
Preferred qualifications include:
Experience in Python, Perl, or another scripting language
Experience in a machine learning or data scientist role with a large technology company
Experience creating experimental and statistical designs for data modeling processes, use of robust baselines, ability to determine cause-and-effect relationships accurately
Skills and Competencies
To succeed in this role, you will need to have strong skills and competencies in:
Data analysis and modeling
Machine learning and statistical modeling
Programming languages such as Python, SQL, and R
Communication and stakeholder management
Business operations and strategy
Collaboration and teamwork
Career Growth Opportunities and Learning Benefits
At Amazon, we are committed to helping our employees grow and develop their careers. As a Physical Security Engineer and Data Scientist, you will have access to a wide range of training and development opportunities, including:
On-the-job training and mentorship
Formal training programs and courses
Conferences and industry events
Opportunities to work on high-impact projects and initiatives
Work Environment and Company Culture
At Amazon, we are proud of our company culture, which is built around our core values of customer obsession, ownership, inventiveness, and frugality. As a Physical Security Engineer and Data Scientist, you will be working in a fast-paced and dynamic environment, with a team of talented and motivated individuals who are passionate about delivering high-quality results.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
A salary of $26 per hour
Comprehensive health insurance
401(k) matching
Paid time off and holidays
Access to Amazon's employee discount program
Conclusion
If you are a motivated and talented individual who is passionate about data science and physical security engineering, we encourage you to apply for this exciting opportunity. As a Physical Security Engineer and Data Scientist at Amazon, you will have the chance to work on high-impact projects, develop your skills and career, and be part of a dynamic and innovative team. Don't miss out on this opportunity to join the world's most customer-obsessed company and take your career to the next level.
Apply Now
Amazon is the world's most customer-obsessed company, where people can find and discover anything they need to buy online. We hire the world's brightest minds, offering them a fast-paced, technologically complex, and friendly work environment. The Amazon Devices Buddy Product and Service team is the area of Amazon focused on building platforms that delight customers by eliminating friction they have in providing, entertaining, and managing the home and more. As a Physical Security Engineer and Data Scientist, you will play a critical role in supporting the development of device companion products and services, utilizing econometrics and data-driven decision making to drive business growth.
Job Summary
In this role, you will support multiple data science decision groups for device companion products based on various factors such as device cost, stock, traffic, affordability, inflation, and more. You will use Science and Tools created by the Device Economics team, such as conjoint analysis models, to deliver companion product recommendations. As part of the partner-facing arm of the team, you will own relationships with stakeholders to help improve end-users' experience and make the Partner System more data and science-driven. In parallel, you will work with Applied Scientists, Economists, and Software Developers to provide valuable feedback about partner issues to inform business solutions and increase the speed, quality, and scope behind our recommendations.
Key Responsibilities
Support multiple data science decision groups for device companion products based on various factors such as device cost, stock, traffic, affordability, inflation, and more
Use Science and Tools created by the Device Economics team, such as conjoint analysis models, to deliver companion product recommendations
Own relationships with stakeholders to help improve end-users' experience and make the Partner System more data and science-driven
Work with Applied Scientists, Economists, and Software Developers to provide valuable feedback about partner issues to inform business solutions and increase the speed, quality, and scope behind our recommendations
Claim ownership of projects to drive progress on Choice Science itself
Essential Qualifications
To be successful in this role, you will need to have:
3+ years of data scientist experience
3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab, etc.)
3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that influence their performance
Experience applying theoretical models in an applied environment
3+ years of experience in a partner or customer-facing professional or scientist role, and experience in business operations
Preferred Qualifications
Preferred qualifications include:
Experience in Python, Perl, or another scripting language
Experience in a machine learning or data scientist role with a large technology company
Experience creating experimental and statistical designs for data modeling processes, use of robust baselines, ability to determine cause-and-effect relationships accurately
Skills and Competencies
To succeed in this role, you will need to have strong skills and competencies in:
Data analysis and modeling
Machine learning and statistical modeling
Programming languages such as Python, SQL, and R
Communication and stakeholder management
Business operations and strategy
Collaboration and teamwork
Career Growth Opportunities and Learning Benefits
At Amazon, we are committed to helping our employees grow and develop their careers. As a Physical Security Engineer and Data Scientist, you will have access to a wide range of training and development opportunities, including:
On-the-job training and mentorship
Formal training programs and courses
Conferences and industry events
Opportunities to work on high-impact projects and initiatives
Work Environment and Company Culture
At Amazon, we are proud of our company culture, which is built around our core values of customer obsession, ownership, inventiveness, and frugality. As a Physical Security Engineer and Data Scientist, you will be working in a fast-paced and dynamic environment, with a team of talented and motivated individuals who are passionate about delivering high-quality results.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
A salary of $26 per hour
Comprehensive health insurance
401(k) matching
Paid time off and holidays
Access to Amazon's employee discount program
Conclusion
If you are a motivated and talented individual who is passionate about data science and physical security engineering, we encourage you to apply for this exciting opportunity. As a Physical Security Engineer and Data Scientist at Amazon, you will have the chance to work on high-impact projects, develop your skills and career, and be part of a dynamic and innovative team. Don't miss out on this opportunity to join the world's most customer-obsessed company and take your career to the next level.
Apply Now