Job Openings Senior Data Scientist, eCommerce

About the job Senior Data Scientist, eCommerce

Description

We're looking for a Senior Data Scientist to join our growing eCommerce team. When you join us, you'll build machine learning systems, uncover game-changing insights and use state-of-the-art techniques to shape and execute our global eCommerce growth agenda. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.

Responsibilities:

  • Work on state-of-the-art large-scale data analytics and machine learning projects.
  • Work within a leading eCommerce organization to analyze large data sets and develop custom models/algorithms to uncover trends, patterns, and insights.
  • Establish standards for writing clean, organized machine learning code to streamline machine learning workflow within the DS team.
  • Provide critical expertise to enhance organizational capabilities by utilizing a variety of data sets.
  • Work with business stakeholders to identify and execute opportunities for enhancement.
  • Create documentation and best practices to share with the ML community.

Qualifications:

  • Masters Degree in STEM or equivalent.
  • Minimum five years of relevant work experience.
  • Experience designing and developing machine learning solutions using a variety of data sources.
  • Strong programming skills, especially in Python .
  • Expertise in customizing Modern ML systems, including optimization and forecasting.
  • Experience and functional familiarity with software development and data engineering best practices.
  • Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions.
  • Demonstrated ability to communicate with both business and technical audiences effectively and concisely.
  • Experience with DevOps tools such as git, Docker, Datadog, etc.
  • Experience in supply chain.
  • Experience in building AI applications.
  • Experience with distributed cloud computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem.