Principal Scientist, Kuiper Capacity Planning
2 weeks ago
The Kuiper Global Capacity Planning team owns designing, implementing, and operating systems that support the planning, management, and optimization of Kuiper network resources worldwide. We are looking for a talented principal scientist to lead Kuiper's long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping Kuiper execute on its business plans globally. As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results.
Key job responsibilities
In this role, you will:
Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to establish the long-term vision, strategy, and architecture for capacity simulations and inventory optimization.
Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources.
Lead short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network.
Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other.
Analyze large amounts of satellite and business data to identify simulation and optimization opportunities.
Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
BASIC QUALIFICATIONS Ph.D. (or equivalent experience) in Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field.
7+ years of experience in solving complicated problems in the area of Operations Management or similar disciplines developing strategies for large-scale logistic networks.
7+ years of hands-on experience in building machine learning or optimization models in business environment.
3+ years of production coding experience in one of the object-oriented programming languages such as Java, Python, C++ etc.
PREFERRED QUALIFICATIONS Have research/industrial experience of inventory/supply chain optimization.
Have experience working with simulation systems.
Have successful experience of applying hybrid techniques in the space of Machine Learning and Operations Research.
Excellent written and verbal communication skills with technical and business people; ability to speak at a level appropriate for the audience.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
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