What are the responsibilities and job description for the Principal Applied Scientist, Personalization position at Amazon?
DESCRIPTION
Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting position in the industry.
Amazon’s Personalization team is looking for a Principal Applied Scientist to lead step function science improvements across the recommendations space. As a Principal Applied Scientist on the team you will work on the core website optimization systems for all of Amazon and set the science vision and direction while working backwards from customer problems. You will also work on understanding customers' need and generate right recommendations for each customer to continuously improve our customer experiences. You will be part of a multidisciplinary team, working on one of the largest scale machine learning systems in the company. You will use your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers, product managers, and ML scientists, you will have a unique opportunity to help determine what content gets shown to every customer on Amazon.
You will identify new areas of exploration in the recommendations and content optimization space, continuously pushing the bar for what’s possible. You will mentor other applied scientists and deliver innovative and scalable state of the art solutions. You will play a critical role in ideation for the team. We are building the next generation optimization and content generation system that helps make Amazon more intent aware. We hope you will join us!
BASIC QUALIFICATIONS
- Ph.D. in Computer Science, Mathematics, Statistics, related field, or equivalent experience.
- 10 years of experience in applied science and software development at large scale.
- Experience building complex software systems.
- Experience building predictive and optimization models.
- Expert knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, informational retrieval.
- Proven track record of leading and mentoring applied scientists.
- Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
- Proficiency in, at least, one modern programming language such as C, C , Java, or Python.
- Ability to take a complex problem from scoping requirements through actual launch of the project.
PREFERRED QUALIFICATIONS
- Experience in advertising, website optimization, recommender systems.
- Experience with distributed machine learning systems with billions of data points.
- 10 years of hands-on experience in predictive modeling and analysis.
- Record of peer reviewed scientific contributions in premier journals and conferences.
- Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
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 $159,100/year in our lowest geographic market up to $309,400/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. Applicants should apply via our internal or external career site.
Salary : $159,100 - $309,400