Data Science Expert

Data Scientist, Amazon Leo Global Planning, Amazon Leo

Amazon Leo is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Amazon Leo will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.

Do you want to help build solutions at Amazon Leo to transform the space industry? 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

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.The Amazon Leo Global Demand Planning team's mission is to map customer demand across space and time. We enable Amazon Leo's 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.

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.) 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 in data applications using large scale distributed systems (e.g., Hands-on experience in building machine learning or optimization models in a business environment using tools such as AWS SageMaker

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. Applicants should apply via our internal or external career site.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

#