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Amazon · 2 weeks ago

Sr. Data Scientist, Amazon Leo Global Planning, Amazon Leo

Redmond, WA

Full-time

Onsite

Mid, Senior Level

$143K/yr - $248K/yr

4+ years exp

Amazon is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). The Senior Data Scientist will work cross-functionally to execute on the long-term vision for demand forecasting and will design scalable solutions to integrate data, ensuring continuous optimization of resources.

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, increasing forecast accuracy over time

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

Data Scientist ExperienceData Querying LanguagesStatistical ModelsForecasting MethodologiesData VisualizationData Pipelines ManagementMachine Learning ModelsLarge Scale Distributed SystemsQuantitative Field DegreeCross-Functional CollaborationCommunication Skills

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