Senior Data Engineer

As a Data Software Engineer, you
will focus on developing the tools and infrastructure to capture, manage and
manipulate large data sets of reader behavior. Your goal will be to support and
work with Sr Data Scientist to extract meaning from the data and advise our
editorial and development teams on the findings. You look to tell a story based
on your findings to assist in developing the product road map to customize our
content to better suit our reader. This position will bring analytical rigor and
statistical methods to the challenges of measuring and understanding the
behavior of the 40 million+ women that shop and consume content every
month.

As a Data Software Engineer, you
will:

• Implement and deploy systems for
  measuring and analyzing the performance of the media site and targeted email
  products.
• Develop new data storage and data
  analysis methods for optimizing content performance, revenue, and
  adoption.
• Implement new mechanisms for
  modeling and predicting reader behavior.
• Lead investigations streams of
  content usage and A/B testing. Advise product team on new features and modules
  based on findings.
• Design and implement experiments
  and models to answer targeted questions.

  Requirements:

  
  
  
  
• At least 4 years of hands-on
  experience working with large data sets.
• Hands on deployment experience with
  Hadoop/Spark, Scala, MySQL, Redshift and Amazon AWS or other cloud base
  systems.
• Minimum of a BS in a quantitative
  discipline such as Statistics, Engineering, Computer Science, Applied
  Mathematics, etc.
• Demonstrated proficiency in SQL,
  SAS, Matlab, or R.
• Comfortable writing code in python,
  ruby, perl, or equivalent scripting language.
• Ability to understand business
  problems, draw conclusions from data and recommend actions on how best to solve
  these problems.
• Demonstrated
  self-direction.