Job Description
The Private Brands Discovery team at Amazon is seeking an Applied Scientist to design innovative machine learning solutions that drive customer awareness for Amazon’s own brands. This interdisciplinary team of Scientists and Engineers incubates and builds disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. The team employs methods from Natural Language Processing, Deep Learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon.
Key Responsibilities
- Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch.
- Analyze how customers discover, review, and purchase Private Brands to innovate marketing and merchandising strategies.
- Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and eventually preliminary results.
- Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions.
- Present results, reports, and data insights to both technical and business leadership.
- Constructively critique peer research and mentor junior scientists and engineers.
- Innovate and contribute to Amazon’s science community and external research communities.
Basic Qualifications
- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
Preferred Qualifications
- Experience using Unix/Linux.
- Experience in professional software development.
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 Amazon's disability accommodations page.
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.
Benefits Extracted with AI
- Medical benefits
- Financial benefits
- Equity
- Sign-on payments
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