Amazon’s mission is to be the most customer centric company in the world. The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. This organization leads and influences global workforce strategies that enable Amazon to scale operations more efficiently while also providing a unique voice for the hourly workforce. This is accomplished through a variety of science driven initiatives, experimentations, ML driven modeling, and data engineering. Amazon’s mission is to be the most customer-centric company in the world and we are on the front lines of that mission by providing robust research, data science and analytics to fill our jobs across the globe.
You will identify data requirements, build methodology and tools that are statistically grounded. You will develop and produce actionable insights that allows our staffing teams to uncover opportunities to improve hiring. You will provide data-driven solutions that increase the efficiency of our hiring pipeline and improve candidate experience.
Key responsibilities include:
– As a Data Scientist (DS) in Workforce Intelligence, you will do causal data science, build predictive models, conduct simulations, create visualizations, and influence data science practice across the organization.
– Provide insights by analyzing historical data from databases (Redshift, SQL Server, Oracle DW, and Salesforce).
– Create experiments and prototype implementations of new learning algorithms and prediction techniques.
– Research and build machine learning algorithms that improve hiring at scale.
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.
Flexibility
It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we’ll help you get there. Our business is growing fast and our people will grow with it.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Seattle, WA, USA
BASIC QUALIFICATIONS
– 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
– 4+ years of data scientist experience
– Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
– 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
– Experience managing data pipelines
– Experience as a leader and mentor on a data science team
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 $127,300/year in our lowest geographic market up to $247,600/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.