Amazon · 7 hours ago
Sr. Data Scientist, Amazon Leo Global Planning, Amazon Leo
Redmond, WA
Full-time
Onsite
Mid, Senior Level
$159K/yr - $215K/yr
4+ years expAmazon is an initiative to increase global broadband access through a constellation of satellites. The Sr. Data Scientist will work on solutions to transform the space industry by integrating data and developing forecasting methodologies.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
No H1B
U.S. Citizen Only
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
Qualification
Required
4+ years of data scientist experience
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Experience with statistical models e.g. multinomial logistic regression
Experience developing forecasting methodologies
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
Preferred
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Experience managing data pipelines
Experience working with scientists, economists, software developers, or product managers
3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
Hands-on experience in building machine learning or optimization models in a business environment using tools such as AWS SageMaker
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
San Bernardino Sun
2026-02-04
2026-02-04
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