Job Openings Senior Data Scientist

About the job Senior Data Scientist

Senior Data Scientist
Location: Bedfordview, Johannesburg (Hybrid) | Department: Data & Analytics

Are you ready to lead high-impact data science initiatives that solve real-world problems? Were looking for a Senior Data Scientist to design and deploy advanced machine learning models, unlock business insights from complex datasets, and drive data-led decision making across the organization.

This is a strategic role for a hands-on expert who thrives on both technical depth and cross-functional collaboration.

What You'll Be Doing:

  • Build and deploy machine learning models for predictive analytics, NLP, and time-series forecasting.

  • Conduct exploratory data analysis (EDA), A/B testing, and model validation to uncover insights and optimize performance.

  • Collaborate with product, technology, and strategy teams to embed intelligent solutions into key business processes.

  • Lead analytics projects from design to execution, ensuring alignment with business goals and measurable outcomes.

  • Optimize cloud-based analytics costs and improve the efficiency of big data workflows and pipelines.

What You Bring:

  • 5+ years of experience in data science and machine learning with a proven track record of delivery.

  • Expertise in Python or R, SQL, and data visualization tools such as Tableau or Power BI.

  • Experience with big data tools and cloud platforms (e.g. BigQuery, Spark, AWS, GCP, or Azure).

  • Solid understanding of statistical modeling, experimental design, and data integrity principles.

  • Strong communication skills with the ability to translate technical findings into actionable insights.

  • A Bachelors or higher degree in Data Science, Computer Science, Statistics, Engineering, or a related field.

Why Join Us?

  • Work on impactful projects that directly influence business performance and customer experience.

  • Collaborate with a high-calibre team in a culture that values innovation, autonomy, and continuous learning.

  • Lead the charge in scaling data science capabilities and shaping the future of data-driven growth.


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