Description

Being the Associate Data Scientist, the right candidate will

• Conduct data mining and feature engineering to support Data Scientists on modelling
• Develop intuitive and attractive static and interactive data visualizations using routine program
• Distill quantitative and qualitative data to communicate compelling stories to diverse audiences
• Training end users on new reports and dashboards.
• Supporting initiatives for data integrity and normalization.
• Provide quality assurance of imported data, working with quality assurance analyst if necessary.
• Interact with internal business units to understand business drivers and validate new data.
• Analyze existing data to generate insights for internal audience.
• Work closely with data engineering and data scientist to build ETL pipelines
• Manage and monitor multi-channel performance reports

Profile

• Bachelor’s / Master’s Degree in Mathematics, Statistics, Physics, Computer Science, Engineering, Actuarial Science, Econometrics or related discipline.
• Experience in data mining, data manipulation, statistical analysis and data visualization.
• Above 2 to 3 years of working experience with big datasets and on large scale analytical projects.
• Experience working with and supporting Data Scientist along the data science journey.
• Experience with data analysis and data visualization using tools such as SAS, Excel, SPSS, R, Python.
• Knowledge of graphics and visualization tools such as Power BI, Tableau, DOMO, Adobe CS 5 Suite, Qlik.
• Ability to translate business requirements into non-technical, in layman terms.
• Strong interest in data science.
• Creative and curious with a can-do mentality.
• Strong communication skills.
• Excellent analytical skills.
• Critical thinking: able to look at numbers, trends, and data and come to new conclusions based on the findings.
• Ability to work with large amounts of information and see the 'bigger picture'.
• Fluent in English.
• Preferred background in retail, loyalty, e-commerce.