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Data Engineer

Bluestem Brands, Inc., a Top 100 Internet Retailer, is the parent to 16 fast-growing retail brands. We make it our mission to improve our customers’ lives by providing the merchandise and services they need with the flexibility of paying over time. Our smart, passionate, empowered employees drive our success, and we like rewarding people at the top of their game. Our leadership is responsive and supportive – we take risks, learn from mistakes and celebrate success as a team.

 

A day in the life at Bluestem also includes casual dress, flexible work arrangements, a sweet employee discount and time off for giving back to our communities. Join the Bluestem Brands team to make an impact, be inspired and be valued, every day.

 

We are seeking a Data Engineer to be located at our office in El Segundo, CA. If you are interested in using your experience leveraging cutting-edge data science to inform smarter, faster decision making, this is your chance to get in on the ground floor and help Bluestem Group as we form a Data Science and Machine Learning Lab! The Lab Team is tasked with leveraging the enormous amount of data we have available to us. You'll help us answer some of the toughest questions in eCommerce retail, customer acquisition, marketing attribution, merchandising, credit adjudication and recoverability. The answers are in the data, it’s up to us to mine through the noise and find the true signal to gain insights and drive the business forward. We are seeking high caliber Data Engineers to give meaningful insight and tell powerful stories that will change the way we do business.

 

What You'll Do:  

  • Implement technology solutions to manage large amounts of data
  • Deploy state of the art machine learning algorithms to production environments for real time credit adjudication
  • Build algorithmic experimentation framework
  • Design and develop code and data pipelines that leverage structured and unstructured data integrated from multiple sources
  • Collaborate with Data Scientists to help tell meaningful stories and evaluate continued needs to drive innovation and add significant profitability to the bottom line

 

What You'll Need:

  • Advanced degree (MS or PhD) in Computer Science, Physics, Applied Mathematics, Engineering, Information Technology, or other technology/quantitative/hard science
  • Expertise in general purpose programming languages such as: Python, Java, C, C++, etc.
  • Expertise in shell scripting
  • Experience with distributed computing tools such as Map/Reduce, Hadoop, Hive, Pig, Spark
  • Experience with building complex and non-interactive batch/distributed systems
  • Extensive experience working the full length of the data pipeline
  • Experience using Git
  • Experience using Amazon Web Services (AWS) for cloud computing
  • Experience with extract, transform, load (ETL) processes, and SQL expert
  • Experience working with various data serialization forms: XML, JSON, etc.
  • Experience with any of the following: R, Python Scikit-Learn/Pandas, Matlab, SAS or other mathematical/statistical programming environment, is a plus
  • Experience with graphical processing units (GPU) computing for improving performance, is a plus
  • Exposure to popular machine learning techniques is a plus