Data Scientist – Network2

[Machine Learning, Big Data, General Analytics]
Gauteng
July 21, 2025
Full Time
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Job Description

A fast-paced, forward-thinking organisation is looking for an innovative and analytical Data Scientist to join their growing data team. This is an exciting opportunity to work on high-impact projects that shape strategic decisions and operational efficiency. If you’re passionate about transforming data into actionable insights and enjoy solving complex business problems with statistical and machine learning techniques, then this could be your next big move.
Job Title: Data Scientist
Type: Full-time/Hybrid/Remote

Key Responsibilities:

  • Model Development & Deployment: Build and implement predictive models (classification, regression, and clustering) to support business objectives.
  • Deep-Dive Analytics: Analyse large datasets to uncover patterns, trends, and causal relationships to drive key business decisions.
  • Data Storytelling: Communicate findings through clear visualisations and presentations using tools like Power BI, Tableau, or SAS Visual Analytics.
  • Data Preparation: Own the end-to-end data process – cleaning, transforming, and engineering datasets for analysis.
  • Experimental Design: Plan and conduct A/B testing and other experiments to test hypotheses and measure impact.
  • Collaboration: Work cross-functionally with business teams, Data Engineers, and product owners to deliver data-driven solutions.
  • Continuous Learning: Stay up to date with developments in data science, machine learning, and AI, and help implement new ideas.


Requirements:

  • Education: Master’s or PhD in a quantitative discipline (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering, or Econometrics).
  • Programming: Strong in Python (pandas, NumPy, and scikit-learn) and/or SAS, with solid SQL skills.
  • Statistical & ML Expertise: In-depth understanding of statistical methods and experience developing and deploying machine learning models.
  • Communication: Ability to explain complex concepts to both technical and non-technical audiences.
  • Analytical Thinking: Demonstrated ability to work with ambiguity and solve business problems using data.


Preferred Skills:

  • Visualisation: Experience with dashboarding/reporting tools like Power BI, Tableau, or SAS Visual Analytics.
  • Big Data: Familiarity with technologies like Apache Spark or Hadoop.
  • Cloud: Experience working with cloud platforms (AWS, Azure, and GCP).

If you’re a curious, driven individual who loves transforming data into meaningful impact, apply now to be part of a collaborative and high-performing team.

Please send your CV to [email protected].
Should you not hear from us within two weeks, please consider your application as unsuccessful.