DATA SCIENTIST

Responsibilities

• Align to, understand, and prioritize analytic goals to address business opportunities and value
• Scope and build proof-of-concepts / prototypes using data science techniques directly
• Conceive, develop, and test algorithms with tools like Python, R, etc. (Python is a must, R is good to have).
• Carry out machine learning projects and deploy the model in production

Core

• At least 2 years' proven experience in data analysis in the retail industry is preferred
• Knowledge of statistics and experience using statistical packages for analyzing datasets (i.e. Python and/or R)
• Knowledge of basic machine learning, including but not limited to regression, decision tree, time series, boosting, deep learning, etc.
• A Strong ability in writing Python and/or R code for machine learning projects
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• BS or MS in Mathematics, Economics, Computer Science, Information Management, Statistics or related quantitative displace. Ph.D. is a plus.
• Creative business thinking and open-minded. Ability to convert information into insights
• Strong team player, adaptable and flexible to changes
• Proactive, independent, responsible, creative and self-motivated
• Strong interest in data science

Good to have

• Retail industry experience
• Supply chain knowledge
• Passion for fashion
• Experience with SQL and NoSQL databases
• Experience with Git, Linux and cloud service, e.g., AWS