Full Time Logistics Scheduler, ADCO

Amazon is hiring a Full Time Logistics Scheduler, ADCO in Austin, United States. It pays $23-$29/hr and Level rates it ; you can apply on Amazon.

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Level rates this role Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

**Please note that if you do not live in Austin, TX, you will be required to self-relocate for this position**

Amazon Logistics is launching a centralized team to define and implement a scalable solution for last-mile routing and scheduling in the increasingly complex delivery network. Central Routing and Scheduling is a key strategic initiative with a vision to transform the way Delivery Stations operate. We are looking for creative leaders with a passion for scrappy innovation, a knack for problem solving, and the ability to thrive in ambiguity to create world-class customer experiences.

As a Scheduler, you will be responsible for executing routing and planning for up to 6 assigned stations and tens of thousands of packages. Through use of tools and coordination with the station, you will be accountable for cost, customer experience, and delivery partner experience. In addition, you will be instrumental in developing best practices and standard work for the network.

Key job responsibilities
· Responsible for last-mile customer experience, last-mile cost, and delivery partner experience
· Use data-driven decision making to achieve daily operational excellence.
· Leverage quantitative analysis to identify best practices that improve customer, cost, and delivery partner outcomes
· Develop processes and systems to achieve metrics, often requiring scrappy solutions to temporarily overcome technical limitations. The ability to scale will be critical to all processes.

Basic qualifications

- 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience
- 1+ years of customer service or back-office roles in corporate environments experience
- High school or equivalent diploma
- Speak, write, and read fluently in English
- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach
- Work 40 hours/week, and overtime as required
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Are 18 years of age or older
- Experience working with Microsoft Office tools (Excel, Word, Outlook, etc.)

Preferred qualifications

- 1+ years of Amazon experience, or experience using data and metrics to back up assumptions and implement effective solutions

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, TX, Austin - 22.54 - 29.18 USD hourly

How we rate this

Full Time Logistics Scheduler, ADCO at Amazon rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.