Data Scientist, Amazon Leo Global Planning, Amazon Leo
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Do you get excited by aerospace space exploration and/or satellites Do you want to help build solutions at Amazon Leo to transform the space industry If so then we would love to talk!
Key job responsibilities
Work cross-functionally with product business development and various technical teams (engineering science simulations etc.) to execute on the long-term vision strategy and architecture for the science-based global demand forecast.
Design and deliver modern flexible scalable solutions to integrate data from a variety of sources and systems (both internal and external) and develop Bandwidth Usage models at granular temporal and geographic grains deployable to Leo traffic management systems.
Work closely with the capacity planning science team to ensure that demand forecasts feed seamlessly into their systems to deliver continuous optimization of resources.
Lead short and long terms technical roadmap definition efforts to deliver solutions that meet business needs in pre-launch early-launch and mature business phases.
Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Amazon Leo.
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.
About the team
The Amazon Leo Global Demand Planning teams mission is to map customer demand across space and time. We enable Amazon Leos long-term success by delivering actionable insights and scientific forecasts across geographies and customer segments to empower long range planning capacity simulations business strategy and hardware manufacturing recommendations through scalable tools and durable mechanisms.
- 2 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA BELLEVUE - 136000.00 - 184000.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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