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Senior Applied Scientist, Private Brands Innovation
2 months ago
At Amazon, we're committed to innovation and customer satisfaction. As a Senior Applied Scientist on our Private Brands Discovery team, you'll have the opportunity to design and develop cutting-edge machine learning solutions that drive customer awareness for Amazon's own brands. Our team is comprised of interdisciplinary experts who collaborate to incubate and build disruptive solutions using the latest technology to solve complex science problems.
This is a high-visibility opportunity for someone who wants to make a business impact, tackle large-scale problems, and work closely with scientists and engineers. As a senior scientist, you'll bring business and industry context to science and technology decisions, setting the standard for scientific excellence and making decisions that affect the way we build and integrate algorithms.
Key Responsibilities- Drive applied science projects in machine learning end-to-end, from ideation to launch, to innovate marketing and merchandising strategies.
- Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and 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 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.
- 8+ years of building machine learning models for business application experience.
- 4+ years of applied research experience.
- PhD, or Master's degree and 5+ years of applied research experience.
- Experience programming in Java, C++, Python, or related languages.
- Experience with neural deep learning methods and machine learning.
- 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 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 this link.
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 this link.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
