Sr. Applied Scientist, DOTS
DESCRIPTION
The DOTS Science team consists of scientists with operations research and machine learning backgrounds who are responsible for enabling data driven decisions through mathematical modeling and machine learning throughout Devices Operations and Supply Chain organization. Our scientists produce science-based solutions that integrate with the long-term strategic goals of the organization. We develop scientific models and tools that enable business leaders to make decisions informed by unbiased scientific evidence. The types of problems you are trying to solve include forecasting, recommendations, classification, and others.
Key job responsibilities
- Use machine learning and analytical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
- Design, develop, and evaluate highly innovative models for predictive learning
- Work closely with software engineering teams to drive real-time model implementations and new feature creations
- Work closely with operations staff to optimize various business operations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation
- Track general business activity and provide clear, compelling management reporting on a regular basis
- Research and implement novel machine learning, optimization, and statistical approaches
About the team
DOTS consists of related but divergent teams focused on delivery of business-driven software and data. The DOTS team is comprised of data engineers, research scientists, user experience designers, product managers, and program managers. This org-wide group provides an end-to-end perspective of the software needs of Devices Operations and Supply Chain and works to ensure that software designed and built for the entire organization solves both the challenges of today and tomorrow.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.