Sr. Applied Science Manager, People eXperience Technology Central Science (PXTCS)
DESCRIPTION
Do you want to leverage your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide? If so, People eXperience Technology Central Science (PXTCS) would love to discuss how you can make that a reality.
PXTCS is an interdisciplinary team that uses economics, behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that enhance Amazonians' well-being and their ability to deliver value for Amazon's customers. We collaborate with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world.
In this role you will lead and grow a team of scientists responsible for the science strategy and technical implementation innovations across our predictive modeling and forecasting work-streams. These machine learning work-streams include existing models and future models that power leaders across Amazon to make decisions about their businesses. You will build and develop a high-performing team while serving as the strategic science advisor to PXT leaders operating at the Director, VP, and SVP level.
As a people manager, you will coach and mentor your team to identify opportunities where science investment can have material impact on our long-term objectives or annual goals, and help them build consensus around needed investments. You will guide your team across different business domains (corporate, operations, safety) and analysis levels (individual, group, organizational), using various modeling approaches (linear, tree, deep neural network, and LLM-based), enabling stakeholders to make challenging and strategic decisions. While primarily focused on people leadership, you maintain technical depth to effectively review and guide your team's development and delivery of complex science modeling and implementation problems.
You will develop your team's technical vision while staying current with emergent AI/ML science and engineering trends, helping your organization focus in a rapidly evolving landscape. Key responsibilities include organizational planning, hiring strategy, career development, and building the next generation of technical leaders. We are looking for a people leader who can create an inclusive team environment, think big, move fast, and inspire their team to transform the way leaders use data to drive business success. If you excel at building and leading high-performing technical teams and are passionate about developing both technology and people, come join us as we work hard, have fun, and make history.
BASIC QUALIFICATIONS
• Master's degree in a quantitative field (economics, computer science, statistics, or equivalent).
• 10+ years of experience applying ML to solve complex problems for large-scale applications.
• Proven track record of hiring and managing science teams and delivering impactful results.
• Expert knowledge of machine learning algorithms and techniques.
• Project management experience for working on cross-functional projects.
• Strong verbal and written communication skills.
PREFERRED QUALIFICATIONS
• PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent).
• Experience in predictive modeling and forecasting.
• Proven track record of innovation demonstrated in peer-reviewed scientific publications.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/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.