Senior Data Scientist

MSP Staffing Pty Ltd

Date: 4 days ago
City: Krugersdorp, Gauteng
Salary: ZAR 70,000 / mo
Contract type: Full time

Our client is seeking an experienced Senior Data Scientist to join a dynamic Analytics team focused on delivering innovative data-driven solutions that create measurable business value. This is an exciting opportunity for a highly analytical professional who enjoys solving complex business challenges through advanced analytics, machine learning, and data science.

Key Responsibilities

  • Develop and implement advanced analytics and machine learning solutions to support strategic business decisions.
  • Work closely with stakeholders to understand business requirements and translate them into data-driven solutions.
  • Analyse large and complex datasets to uncover valuable insights.
  • Design, build, validate, and maintain predictive models.
  • Perform experimental design and hypothesis testing to validate analytical findings.
  • Present technical findings in a clear and meaningful way to both technical and non-technical stakeholders.
  • Support the development and enhancement of analytics infrastructure, databases, and reporting solutions.
  • Retrain and optimise existing machine learning models where required.
  • Assist with migrating existing on-premises analytics solutions to cloud-based platforms.
  • Build reports and monitoring solutions to track model performance and stability.
  • Promote the adoption of analytics and data science across business units.

Minimum Requirements

  • BSc Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
  • Honours or Master's Degree will be advantageous.
  • Relevant technical certifications are beneficial.
  • Minimum of 5 years' experience in Data Science or Analytics.
  • Strong experience with Python, SQL Server, Power BI, Excel, and PowerPoint.
  • Experience delivering analytics projects from concept through implementation.
  • Azure experience will be advantageous.
  • Experience within Financial Services will be advantageous
  • Advanced statistical analysis and machine learning.

Only shortlisted candidates will be contacted.

Submit your CV to or call 021 555 0432.

Visit our website for more exciting career opportunities: https://mspstaffingza.co/

Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.

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