Data Scientist at MultiChoice

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).