Senior Applied Scientist, US Fashion & Fitness

We are an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better shopping experience for Amazon’s customers. We are looking for an experienced Applied Scientist to help design, build, and develop big impact models that improve customer experience. This leader will solve complex problems in one of the fastest growing segments of the Retail business, Fashion and Fitness (Apparel, Shoes, Jewelry, Watches, Luggage, Sports and Outdoors). A successful candidate will be a self-starter comfortable with ambiguity and working in a fast-paced environment. This role requires an individual who strives to answer business/operational questions and who works across functional boundaries. The ideal candidate should also have a demonstrated ability to think strategically and analytically, with a passion for innovation. You will build and deploy advanced algorithmic systems that help optimize millions of transactions every day. You will own end-to-end business problems/metrics and directly impact the profitability and growth of the company. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's top-line and bottom-line, we want to talk to you.

Key job responsibilities
- Work with Product, Engineering, and peer scientists to formulate business problems into scientific ones
- Build large-scale data pipelines for training and evaluating the models using PySpark/SparkSQL
- Extensively clean and explore the datasets
- Train and evaluate ML models in a robust manner
- Design and conduct live experiments to validate model performance
- Automate model inference and monitoring and on AWS infrastructure- 4+ years of applied research experience
- 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- 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.

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 $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.