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Job Summary


Job Type
Permanent

Seniority
Junior

Years of Experience
At least 2 years

Tech Stacks
R
Git
NoSQL
SQL
Linux
Python
AWS

Job Description


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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

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