Team Leader: Data Science (Johannesburg)
Purpose Statement * To assist in building and delivering the AI strategy to ensure Capitec is able to compete in a fast changing landscape. Data science will be a key strategic differentiator in the future by; assisting in building and delivering the AI strategy for Capitec as well as developing teams and key technical competencies to support this strategy. * focusing on project delivery, team management and coaching and mentoring data scientists in their respective teams from a technical perspective. * playing a technical data scientists role (30%) to help automate and improve processes, create new products and services through machine learning and assist with improved decision making based on data. * improving the time to value for delivery of data science solutions. Experience Minimum: Proven experience in: * 6+ years of experience in building machine learning models in Python/R * Data science, machine learning and integration of developed solutions * Business analysis and requirements gathering * Reproducible coding experience and working with source control tools e.g., Git, Bitbucket * Experience in deploying models into production * Spark, Hadoop or similar big data coding experience * Working in remote environments, e.g., Docker, Linux * Working in cloud environments, e.g., Azure, AWS * 2+ years of managing team of technical specialists * Able to lead and organise multiple data science teams to deliver at required need speed and quality. * Present to C-level and key stakeholder management * Designing and delivering end-to-end on all but the most complex ML projects without supervision. Ideal: * Experience with using cloud (AWS) environments to build and deploy models * 8-20 years practical hands-on experience. * Capitec bank environment Qualifications (Minimum) * Honours Degree in Data Science or Mathematics Qualifications (Ideal or Preferred) * Doctoral Degree in Data Science or Mathematics Knowledge Minimum: Must have detailed knowledge of: * Solution and experimental design for model development * Machine learning development and underlying theory and assumptions of techniques. * Predictive modelling techniques (statistical and machine learning) and deployment * Source control systems e.g., Git, Bitbucket, or Sourcetree * Relational database technologies * Data Science lifecycle and applicable skills within * Stakeholder and project management * People management and leadership principles and practices * Proven ability to lead team of technical specialists Ideal: Knowledge of: * Data analysis * Solution and experimental design * Machine learning model architecture (technical design and implementation processes) * Specialist in one or more specific machine learning competencies, e.g., NLP, Deep Learning etc. Solid understanding of: * Underlying theory and application of machine learning models must be able to understand underlying principles and theory and be able to teach others. * Best practices for data science * Unlocking business value from data science applications * Ethical AI design principles * Capitec Data Science lifecycle * Capitec DPLC * Capitec Recipe Skills * Strategic Thinking Skills * Management skills * Planning, organising and coordination skills * Negotiation skills * Influencing Skills * Computer Literacy (MS Word, MS Excel, MS Outlook) * Programming skill (SAS, SQL, R, Python) Competencies * Working with People * Applying Expertise and Technology * Delivering Results and Meeting Customer Expectations * Adapting and Responding to Change * Writing and Reporting * Analysing * Achieving Personal Work Goals and Objectives * Learning and Researching Conditions of Employment * Clear criminal and credit record * A valid driver's license and own vehicle is required
Skills * Strategic Thinking Skills * Management skills * Planning, organising and coordination skills * Negotiation skills * Influencing Skills * Computer Literacy (MS Word, MS Excel, MS Outlook) * Programming skill (SAS, SQL, R, Python) Competencies * Working with People * Applying Expertise and Technology * Delivering Results and Meeting Customer Expectations * Adapting and Responding to Change * Writing and Reporting * Analysing * Achieving Personal Work Goals and Objectives * Learning and Researching
Skills * Strategic Thinking Skills * Management skills * Planning, organising and coordination skills * Negotiation skills * Influencing Skills * Computer Literacy (MS Word, MS Excel, MS Outlook) * Programming skill (SAS, SQL, R, Python) Competencies * Working with People * Applying Expertise and Technology * Delivering Results and Meeting Customer Expectations * Adapting and Responding to Change * Writing and Reporting * Analysing * Achieving Personal Work Goals and Objectives * Learning and Researching
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