Sr Manager, Data Science – AWS Regions

Amazon
Amazon

Job Overview

DESCRIPTION

Do you like helping U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping these groups understand application architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success?

AWS customers are diverse, the AWS Region is the foundation for offering services to our customers. Expanding customer use cases, new geographies, and the rapid adoption of cloud computing makes new region builds critical for AWS to address evolving customer needs. Why you will love it: You will have exposure to teams and leaders across the entire company. You will see many aspects of the Amazon business. You will have a direct impact on AWS growth and delivering major new capabilities for our customers. You will have ownership and responsibility for defining and executing processes that deliver both savings and productivity for AWS.

AWS Region Services is looking for an exceptional, motivated Data Science Leader with a strong delivery record to build and manage a team of highly talented data scientists. This team will be dedicated to building Operational Excellence tooling to help service teams build faster, safer and decrease overall parity across regions. Our applications deal with a lot of data around deployments, actions and environment parameters. We need to have a better understanding around patterns in behavior, predictive analytics and data visualization of the data we have to help Service Teams and leaders.

You will have the opportunity to work across multiple problem spaces with a primary focus on models and insights that will redefine how we optimize systems and services across AWS and jointly optimize across other platforms. You will be solving complex problems, working on difficult challenges in the data science space as the scale of our product portfolio grows.

As Sr. Manager of Data Science within the AWS Region Services Organization, you will recruit and lead a high quality, creative, visionary data science team. You will play a key role on the leadership team that is setting the business and technical agenda for AWS. You will work closely with business teams, technology teams and operations teams around the world, make a huge, measurable impact to Amazon’s customers, and build and innovate solutions that are simple and easy to maintain and scale. You are comfortable conversing with, collaborating with and persuading product, business and technology teams alike, and are poised and polished when presenting to senior level executives.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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.

This position requires that the candidate selected be a U.S. citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.

BASIC QUALIFICATIONS

· Master’s degree in quantitative field such as Computer Science, Statistics, Mathematics, etc.
· 7+ years of relevant senior level experience in Data Science/Business Intelligence/ Analytics
· 5+ years of team management experience with a track record of hiring & developing analytics professionals
· 4+ years industry experience in applying Computer Science, Computer Engineering, Machine Learning, Statistics or related technical discipline

PREFERRED QUALIFICATIONS

· Proficiency in the development, validation, implementation, and production launch of machine-learning algorithms and models
· A passion for implementing coding best practices across a team
· Deep appreciation for diversity of thought and a proponent for collaborative solutions.
· Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences
· Ph.D. in quantitative field such as, Computer Science, Statistics, Mathematics, etc.
· Experience with processing, analyzing, and modeling with large data sets
· Experience with agile/scrum methodologies and its benefits of keeping scientists on track and iteratively delivering results.
· Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via AWS technologies, SQL, and data pipelines
· Familiarity with utilizing a clustered distributed-data processing tool such as Hadoop, Spark, Dask, Map-reduce, and Hive
· Familiarity with Logistics/Supply Chain, or related Businesses
· Background in experimental design
· Meets/exceeds Amazon’s leadership principles requirements for this role
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role

*Please email AWS Sourcing Recruiter, Scott Korkowski ([email protected]) if you have questions.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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.

Amazon is committed to a diverse and inclusive workplace.

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