Description

　　Success in any organization begins with its people and having a comprehensive understanding of our workforce and how we best utilize their unique skills and experience is paramount to our future success.

　　AWS is looking for an exceptional Senior Applied Scientist with ML expertise to join the Workforce Planning team.

　　This Senior Applied Scientist has proficiency in employing workforce and human behavior insights, operations research and machine learning techniques to build models and algorithms that enable the acceleration of revenue growth, improved operational efficiencies & delivery. Ultimately, results will be delivered through a workforce plan of optimized size and level in service of predictably accelerating product innovation, and enhancing the customer experience. Moreover, this Senior Data Scientist will work in partnership with the core WFP team that requires thought leadership to advance WFP content across AWS. This individual has proficiency in employing workforce and human behavior insights, strong business operations fundamentals and good judgement.

　　In this role, you will be responsible for using operational and human capital data and leveraging machine learning methods to map enterprise strategies into actionable delivery plans, guiding data driven business decisions that results in predicting outcomes, understanding complex data relationships, and developing a quantitative return on investment. You will work closely with the business and technology teams.

　　The ideal Senior Applied Scientist has a strong sense of ownership, is self-driven, loves breaking new ground. You will bring a mix of experience including complex program management, cross-functional collaboration, strategic thinking, technical expertise, and process improvement. If you enjoy working in a fast-paced dynamic environment and being challenged by new problems, we’d like to speak with you!

　　We are open to hiring candidates to work out of one of the following locations:

　　Arlington, VA, USA | Seattle, WA, USA

　　Basic Qualifications

　　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

　　Preferred Qualifications

　　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. 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 $136,000/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. Applicants should apply via our internal or external career site.