Senior Data Scientist â Research & Strategy Focus

Recruiter:

Network Recruitment

Job Ref:

NFP015812/HN

Date posted:

Wednesday, June 11, 2025

Location:

Pretoria, South Africa

SUMMARY:
Are you a seasoned Data Scientist with a strong foundation in research methodology and a passion for solving real-world problems with data-driven strategies? We’re looking for a dynamic and detail-oriented individual who can lead from the front—designing smart solutions, conducting powerful statistical analysis, and transforming insights into action.

POSITION INFO:
Senior Data Scientist – Research & Strategy Focus

Key Responsibilities:

Partner with client-facing teams to design research solutions that meet real business needs.
Develop sampling plans and manage data sources to ensure representative, high-quality datasets.
Analyse and model quantitative data using advanced statistical and machine learning methods.
Build and maintain dashboards (Power BI preferred) to deliver compelling, client-ready insights.
Present complex analytical findings in a clear, meaningful format for business and executive decision-making.
Drive continuous improvement through AI, automation, and new data science innovations.
Own your domain—from data architecture to analysis to stakeholder engagement.

What You Bring:

Post-graduate Degree in Statistics, Data Science, Mathematics, or a related field.
At least 5 years in a data science or analytical role with a research-based background.
Proficiency in Python, R, SQL, and strong statistical methods (e.g., regression, and hypothesis testing).
Strong experience with data visualisation tools (Power BI, and Tableau).
Understanding of sampling design and statistical modelling techniques.
Hands-on experience with large datasets, AI/ML tools, and reporting systems.

You Are:

Strategic, analytical, and always curious.
A strong communicator who simplifies complexity.
Client-focused and results-driven.
Comfortable working cross-functionally in a fast-paced, data-heavy environment.
Passionate about research and innovation in data science.

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