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Data Scientist

Data Engineer • Remote • Full-time • 📍 Pretoria

Data Scientist role focused on analyzing complex datasets and developing predictive and statistical models to generate actionable business insights. The position centers on machine learning, forecasting, and data-driven decision-making.

Responsibilities

  • Analyse large and complex datasets to identify trends, patterns, and business opportunities
  • Develop, test, and deploy predictive and statistical models
  • Build and maintain data models supporting business intelligence
  • Design ML solutions for churn prediction, fraud detection, forecasting, and segmentation
  • Prepare, clean, and transform structured and unstructured data
  • Conduct exploratory data analysis and communicate findings to stakeholders
  • Develop and maintain reporting, dashboards, and analytical solutions
  • Monitor, evaluate, and improve predictive model performance and accuracy
  • Collaborate with business stakeholders to translate requirements into data-driven solutions
  • Work with Data Engineers to ensure data quality, accessibility, and governance
  • Document methodologies, assumptions, and analytical processes

Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field
  • 3-5 years of experience as a Data Scientist in production environments
  • Proven experience developing and deploying ML and statistical models
  • Experience working with large datasets delivering measurable business value
  • Experience collaborating with cross-functional teams
  • Strong understanding of machine learning algorithms and statistical modelling
  • Python for data analysis and machine learning
  • SQL and relational databases
  • Statistical modelling and predictive analytics
  • Data wrangling, cleansing, and feature engineering
  • Data visualisation and reporting
  • Supervised and unsupervised learning techniques
  • Model evaluation and performance optimisation

Nice to have

  • Postgraduate qualification in Data Science, Applied Mathematics, Statistics, Machine Learning, or AI
  • Relevant certifications in Data Science, Machine Learning, or cloud platforms
  • Exposure to cloud data platforms (Azure, AWS, GCP)
  • Exposure to Generative AI and RAG concepts
  • Experience with data warehouses (Snowflake, BigQuery or similar)

Soft skills

Strong analytical and problem-solving capabilitiesEffective communication with business stakeholders

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