Data Scientist

You will be part of an active group of data science and AI / ML practitioners that shape the direction of applied artificial intelligence of the organization and drive business growth in retail/e-commerce business. Projects such as ML-powered search engine, recommender systems, customer360, and demand forecasting. As a Senior Data Scientist for our new project, you will enjoy working with cutting-edge technology to uncover insights from large-scale of datasets and develop state-of-the-art machine learning models to solve real-world problems such as time-series prediction tasks. 

Responsibilities 

• Apply machine learning in core areas to meet business requirements and drive business growth. 
• Build, validate, test, and deploy AI models and algorithms. Identify more business opportunities through big data. 
• Communicate data-driven insights and solutions to business users. 
• Communicate and provide solutions to the management level via data visualizations and presentations. 
• Research and implement best practices to enhance existing machine learning infrastructure and process. 
• Work with ML Engineer and data engineers to create end-to-end machine learning feedback loop and integrate it into various applications. 
• Improve existing machine learning models both in terms of model performance and computing performance. Collaborate with a multi-functional agile team of ML Engineer, Data Engineer, UX / UI design, product management, and engineering to build new features/products/services that delight our customers 

Qualifications 

• BS (or higher, e.g., MS, or PhD) in Computer Science, Computer Engineering or related technical fields involving Machine Learning or equivalent technical experience 
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open-source libraries and frameworks Strong analytical and problem-solving skills, 
• Significant proficiency in SQL, Pandas, Spark and languages like Python Familiar with various supervised and unsupervised models to uncover insights from large-scale of structured and/or unstructured data. 
• Strong background in mathematics. 
• Good communication skills to explain Data Science/ML solutions to non-technical people. - 
• Knowledge in retail business is a plus. 
• Experience in Time-Series, NLP, image processing, search engine and/or recommendation system is a plus. 
• Self-driven with willingness to learn and improve, outstanding structural thinking skills, and ability to work under pressure. 
• Strong written and communication skills in English