Job description

We have partnered with an analytics platform for growth and theyre looking for a Senior Data Scientist to join their team of retail analytics experts in Singapore.

  • Improve the transactional dataset by adding properties and creating downstream solutions for the platform and its products.
  • Work with Data Engineers, Software Engineers and business users to build and enhance solutions for clients and merchants
  • Collaborate with product leads and data analysts to co-create data science roadmaps to solve problems like demand forecasting, pricing, product recommendations, customer understanding, and promotion evaluation.
  • Nurture the data science team's skills in capabilities around natural language, representation learning, geospatial, and time series analysis

  • 5-7 years experience in product data science or machine learning roles
  • Experience in research and development of scalable models for production
  • Bachelor degree or above, majoring in related technical disciplines
  • Proficiency in Python and its common data science libraries
  • Strong working knowledge in SQL and RDBMS (eg MySQL, Snowflake)
  • Experience with DevOps tools like Git / Bitbucket
  • Competence in data science models (eg. dimensional reduction, clustering, classification etc)
  • Familiar with commonly used NLP algorithms and advances, (eg word2vec or language models)
  • Familiar with probability theory, statistical analysis, and outlier detection
  • Familiar with deep learning frameworks (e.g. PyTorch) and algorithms (e.g. CNN, LSTM)

Good to Have:
  • Experience in machine learning deployment in cloud environments
  • Experience in MLOps tools (eg. Metaflow, MLflow, WandB, Optuna)
  • Experience in NLP of non-roman languages/scripts e.g. Thai
  • Experience in causal inference techniques especially for marketing technology use cases around promotion campaign planning & evaluation
  • Industrial experience in data science developments for online & offline retail

Sound like you?
Drop me an email at for a confidential discussion.

EA License: 20S0371
Reg N0: R21102838

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