Jobs for People with MS: National MS Society

Description

The Selling Partner Trust and Store Integrity team is tasked with identifying and preventing abuse for our customers and brand owners worldwide. Our growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, and are capable of breaking down and solving complex problems.

The Sales Abuse Prevention team designs and implements policies, tools and technology innovations to protect customers. We are looking for an experienced, motivated Industry Specialist with a background in risk, digital fraud, compliance, or cyber investigations who also have advanced data analysis skills (SQL, Python, Machine Learning, Data Science) to manage critical and high impact projects. The ideal candidate should be passionate about helping us ensure that customers have a trustworthy buying experience and that brand owners and selling partners using Amazon are successful listing and selling their products. Your decisions are not only fundamental to helping protect customers and selling partners but will help maintain the health of Amazon’s catalog and product listings ecosystem.

As the Industry Specialist over this space, you’ll partner with our team of engineers, user experience designers, research scientists, data scientists and business intelligence engineers to innovate on Amazon's shopping experiences across the store. You'll design, launch, and measure experiments that help drive discovery of the best ASIN selection in our store.

Successful candidates will have a keen ability to distill insights from customer research, and form an experimentation plan to address pain points uncovered through anecdote and in-depth data analysis. They will be able to translate these insights into testable experiments to address unmet needs, or improve a particular shopping outcome. You'll thrive in an environment with lots of opportunity to invent new approaches, while moving fast and learning from prior experiments.

You will be able to separate out idealistic from practical and balance both to continue to move forward. You will excel at looking around corners, and anticipating where to build and when to test to fail fast. You must have the experience and capability to prepare documentation for senior executives. This is a highly visible position that will interact at all levels of the businesses we support.

You will thrive in a collaborative, creative, analytical, and fast-paced environment and are comfortable interacting with senior leaders, technical software development teams, design teams, research teams, science and business intelligence teams.

Key job responsibilities

Conduct initial investigation to assess the abuse and large scale investigations to derive insights about tactics used to conduct abuse on our stores

Complete risk analyses on Selling partner populations using big data

Write deep dive documents summarizing investigations and proposing solutions

Own projects designed to improve operational and process efficiency. This will include accessing and analyzing data and working extensively with external teams.

Support teams in responding to, investigating and managing incidents and escalations around different types of abuse.

Use high-level judgment to own our most complex enforcement decisions.

Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.

Effectively prioritize opportunities in an ambiguous environment

Monitor media and global events to develop awareness of trends in ecommerce

Basic Qualifications

• Bachelor’s or postgraduate degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics or related discipline.

• 3+ years of relevant industry experience in risk or fraud investigations, regulatory compliance, ecommerce, analytics, or security

• Proficient with deriving insights from big data using SQL & experience manipulating/processing data with Python

• Proven ability to deliver complex projects across multiple teams

Preferred qualifications

• Experience working in e-commerce organizations

• Experience working within fraud, compliance, law enforcement, or intelligence organizations

• Experience with AWS services like Redshift, Neptune or Sagemaker

• Masters degree in or practical experience with data science or machine learning

• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences.

• High level of integrity and discretion to handle confidential information.

• Exceptional ownership and bias for action: willing to move quickly and decisively

• Proven ability to problem solve in large/complex/technical systems

Preferred Qualifications

• Doctorate in relevant discipline

• Masters in Business

• Domain knowledge and expertise in Search engine science, including (but not limited to) direct experience with relational search modeling and experimental approaches typically used in assessing search ROI (e.g., conversion lift tests, geo hold-out tests)

• Science experience in a similar business environment (e-commerce industry, subscriptions businesses, search engine optimization)

• Knowledge of professional software engineering practices & best practices for the full software development life cycle

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 $107,400/year in our lowest geographic market up to $229,700/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.