Job description

At a glance

Are you someone who

  • Has at least 5 years of data science experience, with expertise in e-commerce, marketplace or customer analytics is a plus
  • Deep understanding of modern machine learning techniques and their mathematical underpinnings, such as classification, clustering, optimization, deep neural network and natural language processing. Experience in graph analytics is a plus
  • Proven ability to tailor your solutions to business problems in a cross functional team and guide team members to deliver measurable impacts
  • Proficient in SQL, Python and a machine learning/deep learning toolkit (preferrably Tensorflow or PyTorch). Experience with Google Cloud Platform is a plus
  • Knows how to and loves to build recommendation models
  • Ability to write production ready code and knowledge on optimal CI/CD deployments
  • Has experience managing a team.

Responsibilities

  • Develop the overall strategy for Data Science for Chope
  • Work closely with product/business teams and other data scientists/engineers to drive personalization at scale across multiple product lines and user experiences such as search or recommendation
  • Innovate on initiatives to grow both Chope’s supply and demand
  • Help to build next gen recommendation models
  • Hiring and collaborating with a high calibre team of Data Scientists to generate training datasets for recommendation models
  • Make recommendations systems your baby (take care of deploying models into productions and their maintenance)
  • Build experimentation-driven culture at company-wide level to help Chopers learn and grow together
  • Guide others to analyze and extract actionable insights and initiatives from our huge amount of structured and unstructured data streams
  • Optimising the APIs for the the recommendation system
  • Lead the Data Science vision and execution strategy to be focused on continuous improvements of the keys metrics for search and recommendation systems.

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