Senior Data Scientist Rosebank - South Africa
HR insync
Purpose Communicating prioritised data-driven analyses, modelling, and algorithms. The incumbent manage complex data projects collaboratively, drawing on excellence and experience in (inter alia) quantitative analytics, statistical analyses, modelling, and machine learning algorithms, as well as data visualisation. Responsibilities Designing and Managing Data Projects collaboratively in service of strategy and operations 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 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 Using data visualisation tools (e.g., Tableau, PowerBI) Advantageous: fluency in an African language R59 000 - R85 000 Ctc Per Month Bonus (Negotiable on Experience)
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