Sr. Data Scientist – CloudTune

Job title: Sr. Data Scientist – CloudTune

Company: Amazon

Job description: Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.

Please visit https://ift.tt/3aB6RJj for more information.

The CloudTune Capacity Management and Planning team is responsible for planning, procuring, and managing cloud compute resources used by all Amazon retail product and service teams. As AWS’ largest customer, Amazon’s e-commerce, digital streaming and artificial intelligence business units comprise many tens of thousands of independent services, creating unique technical and planning challenges to characterize and simplify. Across multi-year planning horizons, the future of capacity planning reduces the burden on our developer community to manage at Amazon’s scale through scientific innovation.

As a successful data scientist on the CloudTune Capacity Management and Planning team, you need to provide data and measurements that influence the capacity plans of the organization. You will be an expert at communicating insights and recommendations to audiences of varying levels of technical sophistication. You will lead the design, implementation, and delivery of data science solutions for complex capacity planning problems. You will partner with technology and business leaders that own the full scope of computing capacity supply for Amazon, from forecasting to procurement through provisioning and operation.

Key responsibilities:

  • Research and develop new methodologies for capacity demand forecasting.
  • Translate analytic insights into concrete, actionable recommendations for business or product improvement. Develop and present these as papers to senior stakeholders.
  • Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.
  • Drive scalable solutions for multi-year capacity demand forecasting horizons.
  • Play an integral role in developing a roadmap to expand and enhance demand forecasting for cloud compute resources.
  • Create and track accuracy and performance metrics (both technical and business metrics).
  • Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.

Basic Qualifications

  • Master’s degree in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.), or equivalent professional or military experience working as a Data Scientist.
  • At least 4 years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Stata, Matlab).
  • Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.).
  • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge, educating them about systems and algorithms, as well as sharing insights and data-driven recommendations.

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://ift.tt/395YELS.

Expected salary:

Location: Seattle, WA

Job date: Wed, 17 Mar 2021 08:16:44 GMT


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