Machine Learning Engineer

Data Science, Kubernetes, Unix, Linux, Machine Learning, Python, AWS, Docker, Kubeflow, Pandas, SQL
Full Time
Depends on Experience

Job Description

Brand Overview:

ascena is a leading national specialty retailer offering apparel, shoes, and accessories for women through our brands Ann Taylor, LOFT, and Lou & Grey, Lane Bryant and Cacique. We operate ecommerce websites and over 1200 stores throughout the United States.

 

Machine Learning Engineer

Reports To:  AVP, Advanced Analytics

Location:  This role is based at one of our corporate locations in NY, NJ, OH or MN; remote alternatives in the same geographic region may be considered if consistent with business needs.

Overview:

ascena’s Advanced Analytics group is seeking an exceptional, highly-motivated and self-directed Machine Learning Engineer to join our team. We collaborate with our partner teams to deliver high-impacting data products and models across enterprise-wide functions, including technology, performance marketing, merchandise planning & allocation, ecommerce, customer experience, store operations, supply chain and others as ascena continues to modernize and evolve its machine learning capabilities.

In our team, you will make an impact by:

  • Developing technologically advanced solutions that make a large-scale impact and optimize the end-user experience.
  • Operating with a start-up mentality, bringing new ideas to the table, and inspiring those around you to do the same.
  • Identifying areas of opportunity, determining solution designs, and providing guidance to system and process enhancements.
  • Successfully translating requirements into technical solutions.

In this role, you will:

  • Design, build, deploy and maintain machine learning and advance analytics infrastructure to solve challenging business problems.
  • Develop automation tools to enable scalable machine learning at the speed of business.
  • Build capabilities to monitor, identify drivers of and provide recommendations for improving machine learning systems performance.
  • Deliver technical thought leadership within the team and larger analytics function.
  • Work in collaboration with other team members and stakeholders to design analytical solutions to business challenges.
  • Communicate results and recommendations to senior management.

Qualifications:

  • 5+ years’ experience deploying and maintaining machine learning systems in production environments.
  • Proficiency in Python and Linux/Unix/Shell environments.
  • Experience with SQL, NO-SQL databases.
  • Working knowledge in container and cloud native technologies – Docker, Kubernetes.
  • Experience with CI/CD methodologies and tools.
  • Experience working on AWS and Kubeflow pipelines, preferred.
  • Strong inclination towards exploring and learning new technologies.
  • Excellent verbal and written communications skills.
  • Retail experience a plus.

 

Education:  Bachelor’s Degree in Computer Science or Engineering, Information Systems, or equivalent required.  Master of Science in Computer Science, Data Science, Analytics or equivalent preferred.

 

Equal Employment Opportunity

The Company is committed to hiring and developing the most qualified people at all levels. It is our policy in all personnel actions to ensure that all associates and potential associates are evaluated on the basis of qualifications and ability without regard to sex (including pregnancy), race, color, national origin, religion, age, disability that can reasonably be accommodated without undue hardship, genetic information, military status, sexual orientation, gender identity, or any other protected classification under federal, state, or local law. We do not discriminate in any of our employment policies and practices. All associates are expected to follow these principles in all relationships with other associates, applicants, or others with whom we do business.

Dice Id : 10496376
Position Id : R-104036
Originally Posted : 2 months ago
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