Lead Data Scientist

eyos.one is a leading retail tech company helping retailers with physical stores to improve the shopping experience in-store and connect the offline and the online retail world. Our technology seamlessly integrates with any POS system to enable our key products such as Digital Receipts, Receipt Marketing and Data as a Service.

Our platform is connected to 20.000+ Point of Sales across 40+ countries ranging from Big Retailer Chains like New Look, Samsonite and Lego to small mom&pop corner shops in South-East Asia. We are data-enthusiasts and processing and creating value on top of around 350 million granular shopping receipt data every year and growing.

We have built unique ML algorithms in the area of NLP parsing, Data Enrichment, Predictions to create better value out of our vast dataset and make it usable for Retailers, Brand Companies, Data Clients, Advertisers and Tech Partners.

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 Lead Data Scientist to join our global tech team in Singapore and to drive the development of our ML Models.

Here's What You Will Be Doing:

• Dive into our transactional dataset of millions of retail transaction data from offline stores - enriching it with additional properties and creating downstream solutions for our platform and its products
  
• Build and enhance solutions for large retail and consumer goods brands and thousands of independent grocery merchants in an organisation of data engineers, software engineers, and business users
  
• Own and drive the data science roadmaps with product leads and data analysts to tackle problems such as product data enrichment, categorisation, demand forecasting, pricing, product recommendations, customer understanding, and promotion evaluation
  
• Build and grow company wide 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 e.g. MySQL or Snowflake
  
• Experience with DevOps tools like Git / Bitbucket
  
• Experience in machine learning deployment in cloud environments
  
• Experience in MLOps tools like Metaflow, MLflow, WandB, Optuna
  
• Familiar with deep learning frameworks e.g. PyTorch and algorithms e.g. CNN, LSTM
  
• Familiar with commonly used NLP algorithms and advances, such as word2vec or language models
  
• Experience in NLP of non-roman languages/scripts e.g. Thai
  
• Familiar with probability theory, statistical analysis, and outlier detection
  
• Competence in data science models like dimensional reduction, clustering, classification etc.

Skills that would be a plus

• Experience in developing and productionising recommender systems
  
• 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 and/or Consumer Goods/FMCG