Essential Qualifications – NQF Level
• Matric / Grade 12 / National Senior Certificate
• Advanced Diplomas/National 1st Degrees
Preferred Qualification
• BSC Computer Science, BSc Engineering, Econometrics, Mathematical Statistics, Actuary Science or any Stem Qualification.
Preferred Certifications
• Machine Learning and Data engineer related
Type of Exposure
• ML Engineering
• Data warehousing
• Advance analytics
• Marketing analytics
• Financial analytics
• Presentations skills
• Predictive analytics
• Data mining
• Strategy formulations
Minimum Experience Level
• 5-7 years’ experience in a statistical and/or data science role
Technical / Professional Knowledge
• Deep knowledge of machine learning, statistics, optimization or related field
• Experience in Python (Must), R and one additional language (SAS, Java Lua, Clojure, Scala, etc)
• Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.)
• Experience in end-to-end Use case delivery
• Ability to translate data narrative to business narrative
• Excellent written and verbal communication skills along with strong desire to work in cross functional teams
• Attitude to thrive in a fun, fast-paced start-up like environment
• ML Ops (Cloud Devops) is an added advantage.
• ML Ops (ML engineering – running a Data Science platform) is an added advantage.
Behavioural Competencies
• Strong problem-solving skills
• Good communication skills
• Ability to work in teams
• Decision Making
• Innovation
• Continuous Improvement