Sr. Applied Scientist, Last Mile Science
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Software Engineering
In short
Amazon Logistics is seeking a Sr. Applied Scientist to manage projects and operations, implement scheduling solutions, and improve metrics for last-mile delivery. The ideal candidate has a PhD in a quantitative field and experience with machine learning and operations research to drive data-driven decisions and develop scalable processes.
Responsibilities
- Develop input and assumptions based on preexisting models to estimate costs and savings opportunities associated with varying levels of network growth and operations.
- Create metrics to measure business performance, identify root causes and trends, and prescribe action plans.
- Manage multiple projects simultaneously.
- Work with technology teams and product managers to develop new tools and systems to support business growth.
- Communicate with and support various internal stakeholders and external audiences.
Requirements
- 5+ years of building machine learning models or developing algorithms for business application experience.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 5+ years of building machine learning models for business application experience.
- Knowledge of programming languages such as C/C++, Python, Java or Perl.
- Experience with neural deep learning methods and machine learning.
Desired Qualifications
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
#Last Mile Science#Operations Research#Business Analytics
Company
Amazon
Job Posted
2 days ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
Bangalore, India
Qualification
Doctoral, Master
Applicants
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