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DATA SCIENTIST – provide Business Solutions for leading ONLINE RETAILER – CAPE TOWN, R640K-R700K/annum

Job Title: DATA SCIENTIST – provide Business Solutions for leading ONLINE RETAILER – CAPE TOWN, R640K-R700K/annum
Contract Type: Permanent
Location: Cape Town
Salary: R640K - R700K/annum
Contact Name: Gary Silbermann
Contact Email:
Job Published: April 01, 2019 15:44

Job Description

This is a brilliant opportunity for a DATA SCIENTIST to join the RETAIL ANALYTICS Team of a leading ONLINE RETAILER – this opportunity will enable you to solve & provide Business Solutions which will have a huge influence on Retail Strategies, Category Management, Promotions, etc.

Based in CAPE TOWN this DATA SCIENTIST role offers a salary of R640K – R700K/annum.

This Online Retailer is one of the most successful and fastest growing e-commerce businesses, with a great brand name and an increasing volume of loyal consumers. Their business is driven by technology and data, which influence all business strategies having resulted in very impressive growth.

Reporting to the Retail Analytics Manager you will identify opportunities where DATA SCIENCE methods will significantly improve the Retail division’s performance in the areas of forecasting, promotions planning, scenario modeling, pricing, replenishment and assortment planning.
The objective of the role is to develop solutions to business problems, working closely with the BI and Analytics team. You will also work with the Software Engineering teams to deploy and maintain relevant models in the production environment.
Although solid coding skills are required and will be used, the role is more about identifying business solutions and acting as the bridge between Analytics and Software Engineering. Therefore you’ll love this role if you like working with a range of technical and business people.

Ideally your background will be in Analytics, Data Engineering and Data Science, and you’ll have great communication skills to consult with business executives.
Python coding skills will be ideal; R will be okay too. Both would be just perfect. 
Good business acumen.
Proficient with advanced methods for regression, optimisation, classification and unsupervised learning problems.
Proficient at modeling algorithms in either R or Python.
Proficient at gathering and wrangling big data sets from various sources including, SQL databases, cloud services, APIs and … Excel/Google Sheets …
Bachelor’s Degree in Engineering, Mathematics/Statistics, Computer Science or similar.
Master’s Degree in Data Science, Advanced Analytics or similar will be highly beneficial.
3+ years experience in Data Science or Analytics roles.
Experience in Retail industry is beneficial, but not essential.

If you qualify for this role, please email your CV directly to:
Gary Silbermann 
021 801 5001

If you have not had a response to your application within 14 days please consider your application to be unsuccessful.