Senior Data Scientist Rosebank

Duties & Responsibilities

Responsibilities

• Co-conceptualise, prioritise, design, plan and adaptively manage data projects
• Proactively and collaboratively identifying opportunities and/or improvements involving data
• Co-developing and pursuing strategies and tactics to acquire, clean, analyse and interpret data (together with other functional teams)
• Translating and communicating, as well as enabling & participating in conversations about sophisticated data concepts into appropriately accessible language

Conducting & Sustaining High-Quality Data Analyses, Analytics, Modelling, and Algorithms

• Conducting exploratory data analyses to identify patterns, relationships, and anomalies etc.
• Developing, validating, and maintaining advanced data models (incl. predictive models) and algorithms
• Using analyses and models to Find and/or identify and/or generate and/or test assumptions and inferences
• Using machine learning for predictive modelling, classification, and clustering

Performing & Developing Professionally

• Delivering consistently high quality and proactive service
• Delivering an affordable and sustainable set of solutions and/or projects on time
• Estimating work accurately
• Ensuring code and delivery meet quality assurance standards for accuracy and performance
• Staying up-to-date with industry and/or other relevant practices, developments, and trends
• Identifying and completing relevant, valuable training and/or certifications as agreed

Desired Experience & Qualification

• Minimum 5 years’ experience in a data science role, including
• Minimum 2 years in a senior position
• Track record of successfully managing and delivering data-driven projects
• Minimum Master’s degree or higher qualification in data science, statistics, computer science, or a related field
• Excellence in quantitative analytics, statistical analyses, modelling (incl. forecasting & predictive analytics), multivariate testing & analyses, and optimisation algorithms Strong experience building models collaboratively
• Excellence in relevant programming languages, frameworks, and tools: e.g., Python, R, SQL
• Experience using machine learning (frameworks and libraries) to create AI features
• Advantageous: fluency in an African language

Package & Remuneration

R59 000 - R85 000 Ctc Per Month + Bonus (Negotiable on Experience)

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