Description

　　AWS Support is looking for smart, enthusiastic, and creative thought leader with a strong background in business intelligence and / or operations and supporting field organizations.

　　The successful candidate will be responsible in developing mechanisms and tools to ensure AWS Support meets business objectives and goals, while championing the needs of our customers.

　　We are looking for a leader who will work cross-functionally with finance, product, core engineering, and creative teams leading us in building highly scalable pipelines, infrastructure, reporting, monitoring, customer insights/experiments and analytics. You’ll get to work with very large, very ambiguous data sets, in one of the world’s largest data warehouse environments, and this role provides the opportunity to partner deeply across varying business lines and work with multiple stakeholders and executives to chart our path forward.

　　Success in this role will include strength in growing your team and people leadership, forming strong partnerships across technology and business leaders, and comfort working in a hyper-growth and dynamic technical environment/business.

　　Key job responsibilities

　　You lead the design, implementation, and delivery of data science solutions for significantly complex problems that have a long-term impact on a product, business, or function.

　　You are an exemplary practitioner. You establish best practices and simplify problems.

　　You identify and tackle intrinsically hard problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact).

　　You deliver artifacts that set the standard in your organization for excellence, from designs to algorithms to implementations to technical documents.

　　You are a pragmatic problem solver, applying judgment and experience to balance cross-organization trade-offs between competing interests. You are flexible, adapting your approach to meet the needs of the team, project, and product.

　　Your provide data and measurements that influence the business strategy of an organization. You are able to write effectively, documenting your approach and arguments in whitepapers.

　　You lead and actively participate in reviews of data science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding.

　　A day in the life

　　The candidate will be an expert in the areas of data science, machine learning and statistics, and is comfortable facilitating ideation and working from concept through to execution.

　　The successful Data Scientist will have extreme bias for action needed in a startup environment.

　　Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology that powers Amazon high volume hiring.

　　We seek someone who can also demonstrate a high degree of ownership, insist on the highest standards and consistently deliver superior quality results on-time.

　　About the team

　　BI and Analytics Team empower business with the ability to make data-driven decisions to improve our customer experience and achieve operational excellence. We accomplish this by curating the data that is necessary for analysis, performing data analysis, maintaining core metric definitions, building dashboards and reports, and enabling self-service analytics.

　　We are open to hiring candidates to work out of one of the following locations:

　　Dallas, TX, USA | Herndon, VA, USA | Seattle, WA, USA

　　Basic Qualifications

　　7+ years of business intelligence and analytics experience

　　5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience

　　Experience with SQL

　　Experience with ETL

　　Experience with data visualization using Tableau, Quicksight, or similar tools

　　Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

　　Preferred Qualifications

　　4+ years of working with very large data warehousing environment experience

　　10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

　　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 $114,700/year in our lowest geographic market up to $223,100/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. Applicants should apply via our internal or external career site.