Data Scientist - Marketing Science
Shopee
Singapore, SG
22h ago

Job Description

  • Work cross-functionally with business owners / product managers / engineers, and designers throughout the whole process of the data science projects, to discover marketing and growth problems, uncover insights, identify key levers and build practical solutions based on large-scale user and product data.
  • Drive innovation by proposing new experimentation methodologies as well as novel statistical solutions and working closely with product team to facilitate the marketing business decision process.
  • Build core machine learning models as well as end-to-end machine learning pipeline to understand, identify and predict users’ shopping behaviours across their entire shopping journey in order to optimise customer acquisition, engagement, conversion, experience and brand loyalty.
  • Translate quantitative data into actionable recommendations and to translate business objectives into marketing goals and measurements.
  • Requirements

  • Masters or PhD in Computer Science, Engineering, Mathematics, Statistics, Biostatistics or fields related to data mining preferred.
  • 2+ years of industry experience in at least one programming language (e.g., Python, Golang, Scala) and Unix / Linux system and comfortable working with large datasets and conducting complex data analysis using SQL, Python or R.
  • Good knowledge in statistical methods, classical machine learning (classification, regression, clustering, etc), deep learning, reinforcement learning.
  • Experience in Tensorflow / Pytorch machine learning framework, distributed data processing framework (e.g., Hadoop, Spark) and conducting production environment A / B test.
  • Experience of marketing domain knowledge and concepts : marketing mix modelling, propensity modelling, customer lifecycle management, CRM, customer segmentation, membership management, cross-sell and up-sell preferred.
  • Good communication skills with demonstrated ability to deliver and explain technical content to stakeholders and teamwork mindset.
  • Ability to deliver on tight timelines and work closely with cross-functional teams.
  • Preference will be given to candidates with the following additional requirements as below

  • Ability to write production-level code in Python, Golang or Scala and practical development experience in deploying real-time model serving in production.
  • Practical development experience in NoSQL database like Cassandra, ScyllaDB, Redis.
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