Operation Specialist, GROCERY ECO

Operation Specialist, GROCERY ECO

Operations Specialist is responsible for validation and analysis of shopping sessions and events. As a part of the role, individual should root cause the technical irregularities and analyze the discrepancy reason(s), impact on receipt(s) further categorize the irregularities into appropriate buckets. Scope of this role also includes innovation, deep dive into unusual scenarios. The ideal candidate has a strong track record of research analysis, influence through collaboration, driving measurable business results, and attention to detail. This position is part of the world-wide grocery stores and supports a global customer base.

Key job responsibilities
• Perform data collection tasks related to Amazon devices, applications, or services.
• Execute tasks assigned on daily basis by adhering to Standard Operating Procedures (SOPs) and guidelines.
• Participate in process improvement to increase the quality, efficiency, and accuracy of the teams’ processes.
• Partner with your team manager when your work is delayed or blocked due to technical issues.
• Report issues with tools and software to the development team when necessary.
• Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.
• Leverage technology and process innovation to bring continuous improvement to the operations.
• Analyze data to identify the root of a problem and solve it.



About the team
Grocery ECO is a new kind of shopping experience for customers with smart shopping carts - no lines and no checkout. Simply use the ECO cart to enter the store, take what you want from our selection of fresh, delicious meals, grocery essentials, and go through dedicated lane.

ECO carts enable scanning of products as they are taken from the shelves and you can keep track of live receipt via screen on cart. When you’re done shopping, you just leave the store. Shortly after, we’ll charge your Amazon account.

Our technology uses computer vision, sensor fusion, and advanced machine learning.

Basic Qualifications

- Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup

Preferred Qualifications

- Bachelor's degree or equivalent
- Speak, write, and read fluently in English

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Experience Level

Mid Level