To design, prototype, and build next-generation analytic engines and services by applying strong expertise in maching learning , data mining and information retrieval Job Responsibilities
Develop best-in-class statistical and machine learning models
Provide value, actionable insights, identify trends, and measure performance
Collaborate with key stakeholders to obtain business acumen and intellectual property
Understands business problems and designs end-to-end solutions
Ensure Quality controls of own work and those of junior scientists.
Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
Support the achievement of the business strategy, objectives and values
Stay abreast of developments in field of expertise
Minimum Experience Level
Degree in computer science, statistics, or operations research or related technical discipline.
5-7 years’ experience in machine learning, statistics, optimization or related field.
Experience with Python.
Experience working with large data sets, simulation / optimization and distributed computing tools
Preferred Qualification Masters Degree Computer Science, Econometrics , Mathematical Statistics , Actuary Science Preferred Certifications SAS Data Scientist certification , Microsoft Data Scientist , IBM data engineer Essential Qualifications - NQF Level
Matric / Grade 12 / National Senior Certificate
Advanced Diplomas / National 1st Degrees
Providing value add analytics to drive business decisions
Presentation skills at executive level internally and externally
Organisational strategy formulation and Exrcution
Technical / Professional Knowledge
Analysing situations or data that requires an in depth evaluation of multiple factors
Financial modelling and analytics
Research and analytics
Strategy planning and execution
Technical / Professional Knowledge and Skills