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.
This is a customer-facing science leadership role at PXTCS. As an Applied Science Manager, you will provide scientific thought leadership to PXT and other Amazon partners in AI/ML domains like NLP, LLM, and predictive analysis. You will play a critical role in business planning, working closely with senior leaders to develop goals, resource requirements, and influence technical and business strategies. Additionally, you will hire and develop science and engineering talent.
Key job responsibilities
Your responsibilities include collaborating with business leaders, scientists, UX researchers, and economists to translate requirements into concrete deliverables, define the science vision, and develop specific plans for teams. You will lead on the design, development, testing, and deployment of scalable ML and econometric models.
This is a unique, high-visibility opportunity to have a measurable impact on Amazon and its employees while working closely with business leaders, scientists and engineers. The role combines customer engagement, science leadership, management and organizational abilities, and technical strength.
Key Responsibilities:
• Interact directly with internal customers across Amazon to understand HR business problems, identify AI/ML solutions, and define projects and success criteria.
• Lead a team of scientists and engineers to rapidly design, prototype, and productionize scalable AI/ML solutions.
• Employ a metric-driven approach to evaluate customer-facing engagements.
BASIC QUALIFICATIONS
- Master's degree in a quantitative field (economics, computer science, statistics, or equivalent).
- 5+ years of experience applying ML to solve complex problems for large-scale applications.
- 2+ years of experience hiring and managing scientists and engineers.
- 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 consulting.
- 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/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.