Vehicles Programs & Engineering within Amazon’s Last Mile organization is looking for a Data Scientist to leverage Amazon’s vast amount of data to answer business critical questions on how best to maintain, utilize and operate our fleet of tens of thousands of vehicles.
The Vehicle Programs and Engineering team works on Amazon's last-mile vehicle initiatives. The key partners to this team will include (but not be limited to) Finance, Analytics Team, Maintenance, Fleet Ops, Safety and Global teams. As a scientist on our team, you will develop and lead new technical solutions, influence business critical decision-making with massive scale, and influence multiple organizations and geographies.
To be successful in this role, you'll need to wrangle messy data from internal and external sources, manage stakeholder priorities, and communicate technical concepts to both technical and non-technical audiences. You'll work on unique problem spaces to improve our fleet at a scale unmatched in industry and be able to see the impact of your work across organizations.
Key job responsibilities
- Provide strategic and tactical advice based on data insights to multiple business teams.
- Build prototype and production intent forecasting and decision models
- Engineer new solutions to analyze and interpret a variety of data sources (internal and 3rd party)
- Leverage business acumen and technical expertise to create new performance metrics, uncover trends, and highlight root causes of issues
- Manage multiple projects simultaneously
- Work with product, technology, and analytics stakeholders to support organization wide goals
- Communicate findings with senior leadership
- Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products such as Glue, Redshift, Quicksight, and Lambda
