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.
Responsibilities:
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
Requirements:
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 aida.r@worldwide-rs.com for a confidential discussion.