Michelle Hiestermann
    March 19, 2019
    Sandton, South Africa
    Job Type


    A top opportunity has become available within a leading Data Services division of one of the top banks in the country. They require the skills of a Senior Data Scientist to join their high impact, innovative team. This business offers great benefits including: 25 days annual leave, preferential lending rates on loans and performance-based bonuses.


    • Experience in Research Methodologies: Scientific Reasoning.
    • 7+ years practical experience with SAS, ETL, Data Processing, Database Programming and Data Analytics. SAS is a non-negotiable.
    • Extensive background in Data Mining And Statistical Analysis.
    • Able to understand various data structures and common methods in data transformation- coupled with 3-4 years of working experience
    • Excellent Pattern Recognition And Predictive Modelling skills: 3-4 years of experience:
    • Experience with Python, R, NumPy etc
    • Understanding and experience of machine learning techniques and algorithms, such as k-NN, Naïve Bayes, SVM, Decision Forests, etc
    •  Proficiency in using query languages such as k-NN, Naïve Bayes, SVM, Decision Forests.
    • Good applied Statistics skills, such as distributions, Statistical Testing, Regression etc
    • Good Scripting And Programming skills.
    •  Data Orientated personality.
    • Great communication skills
    • Some understanding of the Agile methodology, be a self-starter, willing to work flexibly and long hours, results driven and focussed.


    •  Research and develop statistical learning models for data analysis, includes but not limited to the selection of features, building and optimising classifiers using machine learning and other techniques;
    • Data mining;
    • Processing, cleansing and verifying the integrity of data used for analysis
    • Presentation of results in a clear manner for business:
    • Collaborate with product management to understand needs and devise possible solutions- review and analyse existing business requirements:
    • Communicate results and ideas to key decision makers:
    • Implement new statistical or other mathematical methodologies as needed for specific models or analysis:
    • Optimize joint development efforts through appropriate database use and project design

    Reference Number for this position is MH42197 which is a permanent role based in Sandton, offering up to R1mill per annum based on experience, skillset and current level. Contact michelle on michelle@e-merge.co.za, at www . e-merge . co . za or call her on 011 463 3633

    Are you ready for a change of scenery? e-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website for more great positions.

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