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Data Science Leader

2 months ago

Johannesburg, Gauteng, South Africa Boardroom Appointments Full time

Senior Data Scientist

About the Role:

  • We are seeking a highly skilled Senior Data Scientist to join our team at Boardroom Appointments, where you will play a key role in driving business growth through data-driven insights.
  • The ideal candidate will have a strong background in data science, machine learning, and analytics, with a proven track record of delivering business value through data-driven solutions.

Key Responsibilities:

  • Data Science and Analytics:
    • Develop and implement advanced data models to predict risk, sales, and savings, leveraging techniques such as gradient boosting machines, random forests, and neural networks.
    • Analyze large structured and unstructured datasets to inform business decisions, product design, risk management, and customer interaction strategies.
  • Communication and Collaboration:
    • Present data insights and model findings to business stakeholders and senior executives, ensuring actionable recommendations are provided.
    • Collaborate with cross-functional teams to integrate data-driven solutions into business processes.
  • Process Improvement:
    • Monitor model performance and use feedback to improve data collection, processing, and analysis.
    • Identify opportunities to improve business processes and data collections, ensuring data quality and integrity.
  • Leadership and Innovation:
    • Lead scientific experiments to evaluate different models in a reproducible way, driving innovation and improvement in data science practices.
    • Develop and maintain a culture of data-driven decision making, ensuring data science is embedded throughout the organization.

Requirements:

  • Master's or PhD degree in Data Science, Actuarial Science, Statistics, Operations Research, Computer Science, or Applied Mathematics.
  • Minimum 5 years of experience in an analytics position, with a focus on building and implementing machine learning models to solve business problems.
  • Strong knowledge of programming languages, including Python, R, and SQL, as well as experience with data visualization tools.
  • Excellent communication and presentation skills, with the ability to distill complex data insights into actionable recommendations.