Data Scientist
Overview
As a Data Scientist, you will leverage your expertise to design and implement scalable data science and machine learning solutions that transform enterprise data into clear financial advantages and optimized customer experiences. You will be pivotal in building end-to-end advanced analytics systems that enhance decision-making capabilities and will act as a technical anchor by translating complex algorithmic outputs into actionable business strategies for non-technical stakeholders while mentoring junior talent.
Requirements
- Honours in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research or a highly quantitative field (Master’s degree advantageous)
- Minimum of 5 years experience in data science, with at least 2 years in a dedicated senior role
- Retail, Customer or Marketing experience is highly advantageous
- Strong proficiency in Python and SQL
- Good understanding of code repositories, git and CI/CD
- Experience with machine learning algorithms (regression, classification, clustering, etc.)
- Experience with statistical analysis and hypothesis testing
- Experience with cloud platforms (preferably GCP)
- Familiarity with data visualisation tools (e.g. Data Studio or Power BI)
- Experience with model productionisation and model tracking
- Excellent communication and presentation abilities to convey complex data insights to non-technical stakeholders
- Strong problem-solving and critical thinking skills to tackle ambiguous business problems
- Ability to work independently and collaboratively in a cross-functional team environment
- Self-driven team player who is results driven and committed to excellence
- Intellectual curiosity and a passion for exploring new data sources and methodologies
- Adaptability and willingness to learn new techniques and tools as needed
Responsibilities
- Lead the design, development and deployment of scalable, production-grade ML models and data products within a cloud environment
- Analyse model output and complex datasets to uncover insights and trends that inform business decisions and drive growth
- Design and execute controlled experiments to test new strategies, providing statistically sound recommendations
- Collaborate with cross-functional teams to implement models
- Communicate insights and recommendations to stakeholders and decision makers in a clear and concise manner
- Drive innovation by identifying new opportunities, data sources and methodologies for improved solutions
- Guide, mentor and upskill junior data scientists, fostering a culture of continuous learning and technical excellence
- Define and enforce best practices for code quality, version control, model validation and MLOps deployment pipelines
How to apply
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