AddressJob summaryThe Amazon Core Networking organization is building several new analytics-driven services that will transform how we design build operate and maintain our Data Center network. We are looking for a customer focused, analytically and technically skilled Data Sciences Leader to manage our Insights and Analytics team.The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must.The leader need to be a sophisticated user of advanced quantitative techniques for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. This key role will work closely with internal partners to assist in developing and managing analytic solutions. Your team will work closely with Network Managers and Engineers, Software Engineers to develop statistical models, design and run experiments, and find new ways to optimize our network customer experience.You and your team will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for influence and growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business.Key job responsibilities• Manage a team of data scientists, data engineer and software engineer, identify opportunities and develop data science strategies.• Translate business questions and concerns into specific analytical questions that can be answered with available data using statistical methods.• Apply Statistical and Machine Learning methods to specific business problems and data.• Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, etc.• Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.• Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.• Work with engineers to develop efficient scalable data querying and modeling infrastructure.• Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.• Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models.• Improve upon existing methodologies by adding new data sources and implementing model enhancements.• Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.A day in the lifeThis role will be a Problem Solver, Doer, Detail Oriented, Communicator and Influencer.• Problem Solver: Ability to utilize exceptional modeling and problem-solving skills to work through different challenges in ambiguous situations.• Doer: You’ve successfully delivered end-to-end operations research projects, working through conflicting viewpoints, model intractability, and data limitations.• Detail Oriented: You have an enviable level of attention to details.• Communicator: Ability to communicate analytical results to senior leaders, and peers.• Influencer: Innovative scientist with the ability to identify opportunities and develop novel approaches in a fast-paced and changing environment, and gain support with data.About the team*Inclusive Team Culture**Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.**Work/Life Balance**Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
- A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
- 10+ years of experience working in data science in a consumer product company
- 5+ years of experience managing data scientists or similar roles.
- Experience with AWS technologies like Redshift, S3, Sagemaker, EC2, Data Pipeline, & EMR.
