Senior Data Scientist
Summary
A senior data scientist at BigTalent in Bedfordview, Johannesburg (hybrid) who builds and deploys ML models for predictive analytics, NLP, and forecasting, runs EDA and A/B testing, and leads analytics projects. Core tech: Python/R, SQL, Tableau/Power BI, and cloud big-data tools like BigQuery, Spark, AWS, GCP, or Azure.
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:
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Build and deploy machine learning models for predictive analytics, NLP, and time-series forecasting.
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Conduct exploratory data analysis (EDA), A/B testing, and model validation to uncover insights and optimize performance.
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Collaborate with product, technology, and strategy teams to embed intelligent solutions into key business processes.
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Lead analytics projects from design to execution, ensuring alignment with business goals and measurable outcomes.
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Optimize cloud-based analytics costs and improve the efficiency of big data workflows and pipelines.
What You Bring:
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5+ years of experience in data science and machine learning with a proven track record of delivery.
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Expertise in Python or R, SQL, and data visualization tools such as Tableau or Power BI.
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Experience with big data tools and cloud platforms (e.g. BigQuery, Spark, AWS, GCP, or Azure).
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Solid understanding of statistical modeling, experimental design, and data integrity principles.
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Strong communication skills with the ability to translate technical findings into actionable insights.
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A Bachelors or higher degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
Why Join Us?
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Work on impactful projects that directly influence business performance and customer experience.
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Collaborate with a high-calibre team in a culture that values innovation, autonomy, and continuous learning.
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Lead the charge in scaling data science capabilities and shaping the future of data-driven growth.