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 initiatives, ML 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.
In this role you will lead our Global Candidate Research team and will oversee a team of research and data scientists focused upon improving the candidate experience and informing our labor planning and marketing strategies to attract the right candidate to the right job at the right time. You will poll candidate and new hire sentiment, predict quality and time to hire, and optimize the hourly workforce by analyzing post-hire ROI and influencing businesses in their labor planning. You will be an advocate for the candidate while identifying win/win scenarios for the candidate and Amazon. 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.
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.
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, well help you get there. Our business is growing fast and our people will grow with it.
• Masters or PhD in I/O Psychology, Statistics, Behavioral Economics, or relevant field of study
• 6+ years of experience in predictive modeling and large data analysis
• 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
• 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”
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
We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.
Company - Amazon.com Services LLC
Job ID: A1392438