Junior Data Scientist at Ipsos

Ipsos is a global leader in the market research sector and offers amazing opportunities for learning and development.

The Data Scientist is responsible for overall quality of the data and the sample of the Retail or Consumer audit. He/she should ensure that there are proper/adequate quality checks in place, and improve the overall process where gaps are identified. Understand the possible market dynamics that can drive the results of a retail audit. Be able to understand and interpret the data trends. Do regular updates of coverages and suggest corrective actions where issues occur. Prepare presentations for internal and possibly external clients.

Key responsibilities:

• Design a sample representative of the category/ies within the specific country
• Ensure that Net sample compliance is maintained at 95% or higher.
• Work closely with field team/project manager to ensure critical cells are filled and any a-typical or lost store are replaced asap.
• Ensure elapsed days are kept within Ipsos standards. If any days fall outside of acceptable parameters, ensure corrective measures are put in place and tracked until situation is improved.
• Data trends needs to be reviewed for all countries and categories.
• Final sign off needs to be provided by Data Science before any data can be delivered to Client Service for review and analysis.
• Use the census information to estimate the universe.
• Update business/client of any new emerging channels.
• Document process followed for specific country.
• Sample compliance, standard error and coverage levels and trends needs to be checked and monitored on a regular basis.

Requirements:

• Education
  • School: Matric
  • Degree in Statistics or Mathematics

Experience

• Minimum 2 years’ experience in retail audit is essential

Additional requirements:

• Great attention to detail.
• Good people management skills
• Excellent interpersonal skills
• Good time management skills
• Ability to work under pressure
• Ability to prioritize, multitask and meet deadlines
• Proficiency with the MS Office package
• Ability to learn other software packages
• Excellent Excel skill and expert in pivot tables
• Excellent programming skills, specifically in SQL or SAS.