Data Scientist, Amazon Devices Reverse Supply Chain

- 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- 4+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience in building and deploying large-scale machine-learning models for computer vision, natural language processing, ranking, or personalization, etc.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.
Amazon Devices Reverse Supply Chain delivers world-class supply planning services and accurate forecast guidance to support a seamless customer experience, sustainability and maximum asset recovery for Amazon Devices. We are responsible for guiding millions of returned products through the reverse supply chain.

We're seeking a data scientist who blends advanced machine learning expertise with a genuine passion for product and data-driven innovation. You'll develop sophisticated ML models to revolutionize product development and design for serviceability. Your work will transform customer experiences through scientific methods, deep learning architectures, and state-of-the-art AI models. Success in this position demands exceptional scientific leadership, strong customer focus, software engineering excellence, product vision, and sharp business acumen. You have experience in developing experimental and analytical plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. You are exceptionally curious to learn and an expert in diving into data to discover hidden patterns and of conducting error/deviation analysis.


Key job responsibilities
1. Develop and drive the data science strategy for Amazon Devices Reverse Supply Chain, aligning it with the Devices and Services vision and overall business goals.
2. Identify high-impact opportunities within the organization and lead the ideation, planning, and execution of data science initiatives to address them.
3. Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIEs, and Product Managers.
4. Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
5. Apply statistical and machine learning knowledge to specific business problems and data.
6. Build Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions)
7. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.