JD
Duration 16 weeks
BR 38/hr 10 roles
Description
Job Description: Remote.- ~35 hours per week We are building a new team to support us in driving dropoff success/ compliance, and whose work will help shape the future of our driver product / UX for one of DoorDash's biggest bets You will... - Support fulfillment for our delivery service and help drive compliance to drop off expectations - Conduct Photo Reviews of Dasher Photos to train a Machine Learning photo verification model and provide real-time feedback to Runners on bad photos - Grade and review dropoff photos as drivers take them - Upload photo scores into our platform for Machine Learning Model training and our upcoming Driver Ratings Product work - Outreach to Dashers to provide feedback about their photo - Assist in Dropoff Intelligence Processes and Workflows - Outreach to customers to encourage providing dropoff instructions on difficult buildings (apartments, multi-tenet units) to help our drivers be successful on dropoff - Follow our address-matching process to scrape historical DoorDash orders in order to edit dropoff instructions for dashers A- d-Hoc fulfillment investigations What we're looking for: - Must have basic proficiency in Excel/Google Sheets [mandatory] - Understand excel formulas, formatting, data entry - Preferred: Comfortable w/ Pivot Tables, cleaning data and experience pulling data with pre-built queries - Ability to be comfortable in a fast-paced environment [making quick decisions, escalating issues] - Strong project management, organization and communication skills. - Should be detail oriented! Previous work history that would be a good fit for this role: Experience with monitoring parcel delivery monitoring and/or fraud (example: UPS/Fedex parcel fraud or compliance) Data Entry in logistics monitoring or coordinator Consulting or data analytics with delivery of goods
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