Data Scientist
Johannesburg, Gauteng, ZA
1d ago
source : Latest Jobs

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
  • Mining data
  • 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
  • Data Mining
  • Data Warehousing
  • Financial modelling and analytics
  • Research and analytics
  • Strategy planning and execution
  • Behavioural Competencies

  • Decision Making
  • Innovation
  • Technical / Professional Knowledge and Skills
  • Customer Focus
  • Applied Learning
  • Continuous Improvement
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