Amazon

Returning Candidate?

Data Scientist - AWS Professional Services

Data Scientist - AWS Professional Services

Job ID 
562318
Location 
US-WA-Seattle
Posted Date 
8/30/2017
Company 
Amazon Web Services, Inc.
Position Category 
Project/Program/Product Management--Technical
Recruiting Team 
..

Job Description



At AWS, we are building a global team of technical cloud computing architects to help our partners develop technical expertise and capacity, and to work on enterprise customer engagements around the world.
Within AWS, our Professional Services team works with enterprise customers around the world migrate and helps our partners develop technical expertise and capacity supporting these customers.

At Amazon, data drives the way we make decisions. To help grow and scale the Professional Services business, we are looking for a Data Scientist with strong organizational, collaboration, and communication skills. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term automated solutions. It will be a person who likes to have fun, loves to learn, and is interested in helping enterprise customers leverage AWS for automation. Major responsibilities include:
  • Work with our Professional Services business team to analyze, extract, normalize, and automate relevant data.
  • Build statistical models, apply machine learning techniques, analyze very large data sets and construct metrics using these modeling techniques.
  • Guide critical business decisions by highlighting opportunities, identifying correlations, defining experiments and figuring out cause and effect relationships.
  • Build forecasting models to help define success for the business and understand what variables are key to this success.
  • Leverage data visualization techniques with BI tools to provide insight and analysis.

Basic Qualifications

  • Bachelors in Engineering, Mathematics, Economics, Statistics, Finance, or related field
  • 3+ years relevant experience in predictive modeling and analysis.
  • Experience with data mining and analytics techniques
  • Experience in using R or Python (preferred), SAS, Matlab or other statistical/machine learning software.
  • Experience with data visualization and presentation, turning complex analysis into insight (Tableau, Domo, Power BI or Quicksight)
  • Knowledge and experience of SQL (Oracle, MySQL, or PostgreSQL)

Preferred Qualifications

  • Experience with AWS features (S3, Redshift) is a plus
  • MS/PhD in Engineering, Mathematics, Economics, Statistics, Finance, or related field
  • Expert in writing and tuning SQL scripts
  • Previous experience with statistical, econometric, and/or machine learning modeling is a huge plus.
  • Knowledge of scripting for automation (e.g. Python, Ruby)
  • Excellent communication, analytical and collaborative problem-solving skills
  • Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic environment