Duties & Responsibilities
- Co-conceptualise, prioritise, design, plan, and adaptively manage data projects.
- Proactively and collaboratively identify opportunities and/or improvements involving data.
- Co-develop and pursue strategies and tactics to acquire, clean, analyse, and interpret data in collaboration with other functional teams.
- Translate, communicate, and enable conversations about sophisticated data concepts into accessible language.
- Conduct and sustain high-quality data analyses, analytics, modelling, and algorithms.
- Perform exploratory data analyses to identify patterns, relationships, and anomalies.
- Develop, validate, and maintain advanced data models (including predictive models) and algorithms.
- Use analyses and models to identify, generate, or test assumptions and inferences.
- Apply machine learning techniques for predictive modelling, classification, and clustering.
- Deliver high-quality, professional data solutions proactively and consistently.
- Ensure solutions are affordable, sustainable, and delivered on time.
- Accurately estimate work and ensure code and delivery meet quality assurance standards.
- Stay updated with industry practices, developments, and trends.
- Identify and complete relevant training and certifications.
Desired Experience & Qualifications
- Minimum 5 years of experience in a data science role, including at least 2 years in a senior position.
- Proven track record of managing and delivering data-driven projects.
- Master's degree or higher in data science, statistics, computer science, or related field.
- Expertise in quantitative analytics, statistical analyses, modelling (including forecasting and predictive analytics), multivariate testing, and optimisation algorithms.
- Strong experience building models collaboratively.
- Proficiency in programming languages and tools such as Python, R, SQL.
- Experience with machine learning frameworks and libraries for AI features.
- Fluency in an African language is advantageous.
Package & Remuneration
R59 - R85 CTC per month plus bonus (negotiable based on experience).