DESCRIPTION
Are you passionate about solving complex business problem using data science and machine learning? Does the prospect of solving high impact problems excite you?
The Amazon Devices-Demand Planning team is seeking a truly innovative and technically strong data scientist with a background in machine learning and statistical modeling/analysis. We are a team dedicating on demand forecasting and supply optimization for the entire Amazon device family of products and accessories. We develop scalable and robust state-of-the-art forecasting solutions for the entire portfolio of Amazon devices, and drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
This role is central to the continued growth of Amazon Device division as we have grown from the first Kindle E-Reader to a vast portfolio of Echo, Fire TV, Fire Tablet, E-Reader, Ring and many other devices. In this role, you will have an opportunity to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment. You will collaborate closely with engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices.
Our ideal candidate thrives in a fast-paced environment, relishes working with big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data science and machine learning.
Key job responsibilities
· Research and develop new methodologies for demand forecasting.
· Improve upon existing methodologies and implement model enhancements.
· Drive scalable solutions.
· Create and track accuracy and performance metrics (both technical and business metrics).
· Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.
· Drive best practices on the team; mentor and guide junior members in achieving their career growth potential.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC 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
- 2+ years of data scientist experience
- 3+ 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
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/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.
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