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 Applied Scientist with ML expertise to join the Workforce Planning team.
This 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 Applied 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.
Key job responsibilities
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, wed like to speak with you!
A day in the life
As an Applied Scientistwithin AWS, you will partner across the WFP group guided by a senior member of the team. You will play a key role on the Workforce Planning Science, Tooling and Inspection sub-teams that influence the long-range plans of the business and the technical agenda that supports it. You will influence tools and programs serving senior leaders globally and impacting AWS future.
The ideal Applied Scientist has a strong sense of ownership, is self-driven, loves breaking new ground.
About the team
Our team communicates who we are as an employer what its like to be an Amazonian, why we love innovating on behalf of customers and why people should join us. We build trust with our partners, dive deep into our data, and love to learn and be curious as we deliver results. Our job is to bring that to life.
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our offices in Seattle and Arlington.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Seattle, WA, USA
BASIC QUALIFICATIONS
- PhD
- 3+ years of building models for business application 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 in professional software development
- 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.
- experience in productionizing models
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 $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. 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.
