Data Scientist - Johannesburg - African Ambition

    African Ambition
    African Ambition Johannesburg

    5 days ago

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    Description

    Data Scientist Position

    We are seeking an experienced data scientist to deliver valuable insights on a daily basis.

    The ideal candidate will possess mathematical and statistical expertise, along with natural curiosity and a creative mind. As part of a team of specialists, the data scientist will analyze complex data using various methods and create new visions for the future.

    Objectives of this Role

    • Collaborate with product design and engineering teams to understand needs
    • Research and devise innovative statistical models for data analysis
    • Communicate findings to all stakeholders
    • Enable smarter business processes by utilizing analytics for meaningful insights
    • Stay current with technical and industry developments

    Responsibilities

    • Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, working closely with the engineering team in the development of data products
    • Execute analytical experiments to help solve problems across various domains and industries
    • Identify relevant data sources and sets to mine for client business needs, collect large structured and unstructured datasets and variables
    • Develop and utilize algorithms and models to extract insights from big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
    • Implement analytical models in production by collaborating with software developers and machine-learning engineers

    Preferred Skills and Qualifications

    • Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline
    • Two or more years of project management experience
    • Professional certification
    • Seven or more years of experience in data science
    • Proficiency with data mining, mathematics, and statistical analysis
    • Advanced experience in pattern recognition and predictive modeling
    • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (e.g., Java/Python, SAS)
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