A young, dynamic, leading Online Retailer in Cape Town is looking for a Data Scientist with a relevant tertiary qualifications in Statistics, Mathematics and/or Computer Science, 3 years or more work experience as a data scientist and Data science exposure in a retail or e-commerce environment is beneficial.
Developing and improving daily & hourly order forecasting models.
Building driver supply forecasting models
Developing dynamic delivery times estimators.
Building customer segmentation and Recency/Frequency models to automate CRM journeys.
Developing a recommendations engine to be implemented on the company app.
Supporting the business with insights based on available data on an ad hoc basis.
Compiling technical specifications around data science requirements for the company development team
Relevant tertiary qualifications in Statistics, Mathematics and/or Computer Science.
3 years or more work experience as a data scientist.
Data science exposure in a retail or e-commerce environment is beneficial.
Attention to detail in a high-pressure environment.
Advanced analytical ability.
Ability to align theoretical data science skills with real world business problems.
Willingness to buy into the requirements of a fast-paced start-up environment.
Ability to verbalize as well as visualize findings and results.
Enterprising spirit and ability to take ownership of tasks.
Ability to code and implement recommendations / automations into systems.
Experience in Python and Linux.
Experience with R or mainstream statistics suites (e.g. Stata)
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
When applying for jobs, ensure that you have the minimum job requirements. Only SA Citizens will be considered for this role. If you are not in the mentioned location of any of the jobs, please note your relocation plans in all applications for jobs and correspondence. Please e-mail a word copy of your CV to email@example.com and mention the reference numbers of the jobs.