Senior Data Scientist - eyos Singapore Pte. Ltd.｜Meet.jobs

We are a dynamic team with great offices in Singapore, London, Bangkok,  Jakarta and Sydney, serving our great customers worldwide. We’re  expanding fast and are looking for a passionate and driven Senior Data  Scientist to join our global tech team in Singapore.

Here's What You Will Be Doing:

• Dive into our transactional dataset - enriching it with  additional properties and creating downstream solutions for our platform  and its products
• Build and enhance solutions for large consumer goods brands and  thousands of independent grocery merchants in an organisation of data  engineers, software engineers, and business users
• Co-create data science roadmaps with product leads and data  analysts to tackle problems such as demand forecasting, pricing, product  recommendations, customer understanding, and promotion evaluation
• Contribute towards growth and mentorship of the data science team  in capabilities around natural language, representation learning,  geospatial, and time series analysis

Here's What You Need To Have/Know:

• 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 e.g. MySQL or Snowflake
• Experience with DevOps tools like Git / Bitbucket
• Competence in data science models like dimensional reduction, clustering, classification etc.
• Familiar with commonly used NLP algorithms and advances, such as 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

Skills that would be a plus

• Experience in machine learning deployment in cloud environments
• Experience in MLOps tools like 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