Data Scientist

Mindworx Consulting and AcademyCape Town, Western Cape, South Africa

11 days ago

Job description

We’re looking for a data scientist to join our technology team. You'll leverage cutting-edge cloud technology and work on exciting challenges that directly impact business decisions and user experiences.

Machine learning & automation

Design, build, test, and optimise predictive models that deliver automated business intelligence
Develop sophisticated algorithms to solve complex business challenges
Deploy and monitor ML models in production environments with proper versioning and tracking

MLOps & model lifecycle management

Track model performance, detect drift, and manage model retraining workflows

Containerise ML applications and manage model versioning across environments

Partner with cross-functional stakeholders to identify, scope and solve critical business problems

Create automated reporting systems and interactive dashboards that empower data‑driven decision making

Monitor platform performance and establish key performance metrics

Analytics & insights

Analyse diverse data sources including custom analytics, paywall metrics, and web analytics to uncover actionable business insights

Conduct deep‑dive user behaviour analysis to enhance UX and drive engagement

Data engineering & pipeline development

Build and maintain robust data pipelines for ingesting, processing and transforming large datasets

Ensure data quality and implement validation checks across data workflows

Design efficient ETL / ELT processes to support analytics and ML initiatives

Education & Experience

Honours degree (minimum) in Data Science, Mathematics, Statistics, Engineering or related field

3+ years of hands‑on Python development experience

Proven experience with big data technologies and cloud platforms

Development tools : Git version control, Jupyter Notebooks, Docker

ML frameworks : scikit‑learn, PyTorch, TensorFlow, LightGBM, XGBoost, Pandas

Data engineering : SQL, DAG orchestration tools, data pipeline design, ETL / ELT processes

Statistical methods : linear / logistic regression, statistical analysis techniques

Recommendation systems : collaborative filtering, content‑based and hybrid models

Tree‑based methods : Random Forests, decision trees, gradient boosting

Advanced techniques : clustering algorithms, natural language processing (bag‑of‑words, word embeddings, transformer models)

Model deployment : production deployment, A / B testing, model monitoring and maintenance

Data engineering skills

Strong SQL proficiency and database design principles

Experience with data warehousing concepts and dimensional modelling

Knowledge of data quality frameworks and validation processes

Understanding of streaming vs. batch processing architectures

Mindset

Curiosity and eagerness to learn emerging technologies, platforms and methodologies

Problem‑solving approach with attention to detail and business impact

Strong collaboration skills for working across engineering and business teams

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Data Scientist • Cape Town, Western Cape, South Africa

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