
Senior Data Scientist
- Johannesburg, Gauteng
- Permanent
- Full-time
- Lead the end-to-end development of data science projects-from framing business problems to deploying solutions and interpreting results.
- Translate complex datasets into actionable insights through statistical analysis, machine learning, and visual storytelling.
- Build models and frameworks for forecasting, customer lifetime value, churn prediction, audience segmentation, recommendation engines, and conversion uplift.
- Partner with internal and client teams to shape learning agendas, A/B and multivariate testing frameworks, and optimization strategies.
- Deliver presentations and written documentation that communicate technical outcomes to non-technical stakeholders.
- Design KPI frameworks and create self-serve dashboards and reporting tools using platforms like Tableau or Google Looker Studio.
- Support automation and scaling of analytics workflows in collaboration with data engineers and developers.
- Advise on data collection strategies and infrastructure, ensuring robust pipelines and trustworthy analytics.
- Contribute to AKQA's thought leadership and internal capability-building in analytics and data science.
- Hands-on experience in data science, analytics, or a related quantitative field.
- Proficiency in Python or R for data analysis and modelling.
- Strong SQL skills and experience with querying relational databases.
- Solid understanding of machine learning techniques, model development, and statistical inference.
- Experience applying data science to business contexts such as marketing performance, e-commerce, media mix modelling, CRM, or customer experience.
- Fluency with data visualization tools (e.g. Tableau, Power BI, Google Data Studio).
- Experience working with cloud platforms (GCP, AWS, or Azure) is a plus.
- Comfort working with structured and unstructured data from varied sources (e.g. CRM systems, media platforms, web analytics tools, transactional databases).
- Excellent communication and stakeholder management skills, with the ability to translate data outputs into commercial impact.
- Experience with A/B testing platforms and methodologies (e.g. Optimizely, Google Optimize, custom frameworks).
- Familiarity with data engineering concepts (ETL, Airflow, BigQuery, Snowflake) is advantageous.
- Prior experience in a consultancy or agency environment is desirable.