Our mission in Buyer Risk Prevention (BRP) is to make Amazon the safest place to transact online. BRP designs and builds systems, risk models and operational processes that minimize risk and maximize trust in Amazon. The Data Science Leader, BRP Risk Mining, will lead the team to develop best-in-class science and analytics systems. We are looking for a strong technical leader to help develop advanced scientific solutions and drive critical customer, partner, and business impact. You will collaborate closely with engineering peers as well as business stakeholders to drive end-to-end business problems/metrics and directly impact the profitability of the company.
Key job responsibilities
Key responsibilities:
Understand various businesses/operations across BRP
Hire, Grow, and Develop excellent scientific and analytic talent.
Partner with Sr. Leaders across the organization to frame business problems, establish Scientific vision, and execute roadmap. Partner with Product and Engineering teams to bring modeling solutions to frontline applications across the business.
Set the scientific culture and leadership within the BRP Risk Mining team, advocating for Science at leadership level
Be able to translate and communicate out Science driven results
Identify new opportunities to leverage Science within the organization
BASIC QUALIFICATIONS
- Master’s Degree in any quantitative discipline such as Statistics, Economics, Mathematics, Quantitative Finance or Operational Research
- Extensive experience applying ML to solve complex problems for large-scale applications
- Extensive people leadership experience, managing science teams
- Superior analytical skills. Demonstrated ability to identify and solve ambiguous problems.
- Demonstrated ability to operate both strategically and tactically in a high-energy, fast-paced environment. High degree of organization and ability to manage multiple, competing priorities.
- Experience hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track
- Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels.
- Skilled with Java, Python, or other programming language
PREFERRED QUALIFICATIONS
- PhD in a quantitative field (economics, computer science, statistics, or equivalent)
- 10+ years of practical experience applying ML to solve complex problems for applications handling gigabyte and terabyte size datasets
- 7+ years experience managing Scientists and as a manager of managers
- Experience in e-commerce / on-line companies in fraud / risk control functions
- Strong oral, written and presentation skills combined with the ability to lead group discussions and explaining complex solutions
- Ability to apply analytical, computer, statistical and quantitative problem-solving skills
- Project management experience for working on cross-functional projects
- Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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 $208,300/year in our lowest geographic market up to $324,100/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.