Amazon.Com, Inc. Redmond , WA 98053
Posted 3 weeks ago
DESCRIPTION
Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper 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.
Project Kuiper is looking for a talented individual to lead North America Data Science & Business Analytics. This role is responsible for developing and optimizing data science models to properly forecast subscriber acquisition, retention, and service plan mix for business planning; as well as field operations volume, customer contacts, and inventory trends for operational planning in the US, Canada, and Mexico. The ideal candidate is a self-starter who is comfortable upholding high standards across a wide range of domains, can manage responsibility for large scale business impact and can communicate effectively with executive audiences. They are comfortable working with other data science and engineering teams to architect their required data and infrastructure environments as well as with non-tech audiences to quantify business impact and establish roadmaps.
Key job responsibilities
Understand drivers, impacts, and key influences on subscriber acquisition, retention, and service plan mix
Lead the design, build, and implementation of data science models that take inputs from multiple models and systems
Develop pre-launch and post-launch science forecasts for gross adds, churn, and subscribers
Identify and act upon opportunities to optimize inventory, field operations, customer support, and workforce planning
Drive actions at scale to optimize forecast methodology and drive improvements to forecast reliability
Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets
Collaborate with US, Canada, and Mexico business leaders to drive actionable insights across North America
Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders
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.
We are open to hiring candidates to work out of one of the following locations:
Redmond, WA, USA
BASIC QUALIFICATIONS
Degree in mathematics, statistics, machine learning, or other quantitative area. Master's level degree or higher preferred
10+ years of experience working in data science in aerospace, automotive or consumer electronics industries
Fluency in statistical concepts and advanced statistical techniques (i.e., distributions, confidence intervals, time series analysis, regression models, clustering
Experience with statistical analysis tools, root cause analysis, process design and control
Strong knowledge of SQL. Mathematical, analytical, and data-driven decision making skills
Excellent Microsoft Office skills, including strong working knowledge of Excel and VBA
PREFERRED QUALIFICATIONS
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $145,800/year in our lowest geographic market up to $294,700/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon.Com, Inc.