Have you ever wanted to solve a mystery or be part of solving a case? Are you
fascinated by detective stories or crime shows on TV? Do you love to catch bad
actors, build ML models and solve complex problems. If so, working on the WWOS
Tech team as an Applied Scientist is the place for you
We detect theft, fraud and organized crime happening across our global supply
chain and operations for millions of items, for hundreds of product lines worth
billions of dollars of inventory world-wide. We foster new game-changing ideas,
creating ever more intelligent and self-learning systems to maximize the cost
savings of Amazon's inventory losses.
The primary role of an Applied Scientist within Amazon is to address business
challenges through building a compelling case, and using data to influence
change across the organization. This individual will be given responsibility on
their first day to own those business challenges and the autonomy to think
strategically and make data driven decisions. Decisions and tools made in this
role will have significant impact to the customer experience,
as it will have a
major impact on all the fraud investigations happening across Amazon operations.
Ideal candidates will be a high potential, strategic and analytic graduate with
a PhD in ( Research, Statistics, Engineering, and Supply Chain) ready for
challenging opportunities in the core of our world class operations space. Outstanding
candidates have a history of building fraud detections, detecting organized
crime and the ability to use data and research to make changes. This individual
will need to be able to work with a team, but also be comfortable making
decisions independently, in what is often times an ambiguous environment.
Key job responsibilities
- Own KPIs that measure theft/fraud management performance and efficiencies.
- Detect and automate theft, fraud MOs
- Detect organized crime rings and bad actor clusters
- Perform end to end evaluation of operational defects, system gaps, a