Description
DESCRIPTION
Job summary
The Market Intelligence team for Workforce Staffing applies data and insights to optimize the experience and operations for Amazon's largest candidate population - Tier 1 Associates who bring the magic of Amazon's industry-leading brand promise for customer fulfillment to life. The pace at which job creation, hiring, and growth that happens to support the scale and complexity of Amazon businesses is a problem Amazon is uniquely qualified to solve for and continually innovate on. Workforce Staffing literally hires by the hundreds of thousands across multiple business lines, job types, and shift configurations. The Market Intelligence team in particular focuses on applying labor market, candidate, and competitor intelligence to uplevel job offerings, mitigate operational risk, best position Amazon for its long-term growth.
The Market Intelligence team is expanding in its scope. In this role you will lead one of our Science team and will oversee a team of research/data scientists, business intelligent engineers and data analysts. We live in a rapidly changing employment environment and you will lead us in shaping the strategy to find, attract, and retain hourly associates at scale. This is a role that requires a big thinker, strong leader, and excellent writer in order to succeed.
Come join a team that is continually shaping and writing the future of the hourly worker job offering landscape.
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.
BASIC QUALIFICATIONS
Masters or PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Engineering, Computer Science or other field related to algorithms. 6+ years of experience in predictive modeling, large data analysis and operations research 3+ years managing high performing Research science and machine learning teams Experience influencing organizational strategy through quantitative and qualitative research methods Demonstrated experience turning data insights into organizational results
PREFERRED QUALIFICATIONS
Experience with People Science/Analytics at a global scale Ability to self direct, multitask, and prioritize a constantly evolving workload Comfort in setting and driving strategy rather than letting a strategy drive you Excellent writing skills Domestic and international travel up to 10% may be required Ability to work on a diverse team or with a diverse range of coworkers" The base pay range for this position in Colorado is $ 134,500 - $160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon is committed to a diverse and inclusive workplace.
