ADC NW Data Scientist, ADC Networking

Amazon Web Services
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Job Description

Job summary

ADC Networking owns the entire lifecycle - design, build, deployment, scaling, sustaining engineering, and operations - of our networks connecting between and within the data centers for a dedicated customer region, interconnections to customer networks, and the solutions that enable remote access to these regions from secure operations facilities.

As our dedicated cloud regions continue to grow, we are looking for a Data Scientist to drive data insights across our organization to increase operational efficiency and network performance. The pace, scale, and growth of Amazon’s data center network environment and platforms will challenge your technical and process expertise. Our uncompromisingly high standards and rapid innovation on behalf of our customers will push you to new levels of creativity. So, if you are customer obsessed, and are looking for a fun and challenging environment, we would love to hear from you. You will be part of a highly technical team that spans multiple functions and organizations. This is a strategic and high impact role for AWS's end to end network infrastructure serving our dedicated cloud customers.

In this role, you will apply advanced analysis technique and statistical concepts to draw insights from datasets, create intuitive data visualizations, and build scalable machine learning models. You are a pragmatic generalist. You can contribute to each layers of a data solution – you work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, you team up with data engineers and software development engineers to implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality.

To be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and robust machine learning models from imperfect data sources, and deliver results that meet high standards of data quality, security, and privacy.

Position may be located in either Arlington or Herndon, VA 20170, Baltimore, Denver or Seattle. Relocation assistance offered (pending qualification guidelines).

The pay range for this position in Colorado is $136,000- 184,000; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Sign-on payments, Clearance Bonus, and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.


  • Bachelor's Degree
  • 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
  • 2 years working as a Data Scientist
  • Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
  • Experience using SQL queries, experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets
  • Coding proficiency Python and/or R
  • Experience using notebook solution such Jupyter to conduct reproducible data analysis and modeling projects
  • If you do not meet all of these criteria, but still think you would be a great fit for this role, then we welcome you to get in touch.


  • Graduate degree in Computer Science, Mathematics, Statistics, Economics, Finance, related technical field
  • 5+ years working as a Data Scientist or related fields
  • 2+ years of experience as Tech Lead among data scientists
  • Strong communication and presentation skills necessary to build effective working relationships and positively influence decision making
  • Strong business acumen and product sense
  • Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/BI tools and environments
  • Experience with large datasets
  • Experience with AWS technologies (SageMaker, Redshift, RDS, S3, EMR, etc.) and Hadoop ecosystems (Spark, MapReduce, YARN, Hive, etc.)

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

Company Info.

Amazon Web Services

Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).

  • Industry
    Information Technology
  • No. of Employees
  • Location
    410 Terry Ave N, Seattle, WA, USA
  • Website
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