Data Scientist at MultiChoice

The Organisation

• The MultiChoice Group is a broad-based multinational media and entertainment group headquartered in South Africa, Dubai and Netherlands with principal operations in pay television, video entertainment, advertising and content security serving rapidly growing base of 13,5 million households. Brands within the Group include DSTV, GOTv, SuperSport, M-net, My DSTV App, Showmax and Europe based content security leader Irdeto.
• MultiChoice Group has a successful history of identifying trends early, adapting them for our markets and leveraging them to provide the best experience to customers in Africa. The group’s strength lies in its focus on local language and culture, its entrepreneurial spirit and the quality of its workforce. By joining our team, you can help in achieving our objectives, namely: Expand Pay TV, grow SVOD subscriber base and advertising sales; focus on investment and technology; maintain a local approach, provide quality service and attract innovative and motivated employees.

Join Africa’s most loved storyteller!

Position Name

Data Scientist

Direct Reports

No

Division

Connected Video

Location

South Africa, Johannesburg, Randburg

Key Performance Objectives

Tasks

• Asking and answering questions about our customers and their viewing habits. 
• Are people who watch a daily soap opera less likely to churn? 
• Do people who search for something to watch end up finding assets they like; how long does it take them and what are the features of the product affecting their experience the most? 
• Help product owners design A/B tests and similar experiments to better understand our users. 
• Providing ad hoc and exploratory analyses leading to better understanding of how customers interact with our service. You will not build business reports. 
• Discussing the outcomes of the analysis with Product managers and thus affecting the immediate choices in how our service evolves. 
   

Experience

• Passion for data and understanding how to manage it. 
• Decent statistical knowledge and some experience with machine learning models. 
• Experience processing, analyzing and visualizing data. 
• We work mostly with SQL and Python (especially using pandas and plotly), but we will welcome anyone with a similar experience (R, Matlab, SAGE or other statistical languages).  
• Attention to detail, patience to answer questions and dig deeper. 
• Ability to take big and abstract question and break it down to smaller tasks. 
• Willingness to learn and explore. 
• Good communication skills in English. 
• Knowledge of Spark, Delta Lake, or other open-source big-data tools, and distributed computing of large-scale data. 
• Experience with development and validation of machine learning models. 
• Good understanding of hypothesis testing (e.g. various statistical significance tests).