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    Data Scientist - Randburg, South Africa - Dimension Data

    Dimension Data
    Dimension Data Randburg, South Africa

    1 day ago

    dimension data background
    Description
    Functieomschrijving

    Do you want to work with the latest technology? Do you want to be part of a team that is constantly improving their product and customer experience? Would you like to work with cutting edge algorithms, machine learning and data mining tools? Are you looking for a role where you will make an impact on our business results? We are looking forward to receiving your application

    As a Data Scientist, you'll be responsible for the development of analytical models and algorithms. You will work with data scientists to develop our machine learning and predictive analytics solutions in order to enhance customer experience and drive growth across the business.
    You should have strong programming skills including knowledge of R or Python; some familiarity with SQL is preferred but not required. Some familiarity with statistics would also be beneficial but isn't essential.

    Requirements

    Stakeholder Management § Work with data and analytics squads to identify relevant data sources to perform meaningful customer analytics

    Work closely with the business execution teams to ensure insights make business and financial sense

    Work collaboratively with various teams to ensure effective delivery of the departmental goals based on analysis results

    Operational

    Provide innovative ways to support the implementation and effective execution of the strategy

    Assist with development and delivery of business cases

    Use data and advanced statistical methods to generate new business insights

    Cross-reference and correlate results with supporting material

    Ensure model results are explainable

    Develop, train, test, implement, update and maintain analytical models

    Source and prepare data for analysis and modeling purposes

    Develop dashboards for business consumption and interaction of results

    Implement tracking mechanisms to measure the business impact of action taken against results and insights provided

    Compliance

    Ensure solutions adhere to MultiChoice patterns, guidelines, and standards

    Operate within project environments and participate in continuous improvement efforts

    Delivery Management

    Follow and participate in defined ways of work including but not limited to

    sprint planning, backlog grooming, retrospectives, demos, and PI planning

    Technical Competencies

    Azure Machine Learning Services

    Azure Auto ML

    Azure Data Lake including parquet files

    Databricks including DeltaLake

    PowerBI

    Python

    PySpark

    SQL

    Qualifications

    Qualifications

    Degree in Business and Quantitative field (Econometrics, Mathematics, Statistics, Computer Science or Similar)

    Post Grad Advantageous

    Experience

    A minimum of 3 - 5 years of relevant data science experience

    Application of statistical, mathematical, predictive modeling and forecasting techniques

    Experience in building and implementation of Supervised and Unsupervised Machine Learning Algorithms to solve meaningful business problems

    Preparation and presentation of findings to senior management

    Facilitation of discussion and interpretation of results to deepen business understanding

    Requirements -
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