Data Scientist, IOC - KrielFull job descriptionJob Advert SummaryPURPOSE:Develop and lead the application of data science modelling at an Integrated Operations Centre level to deliver insight-driven tactical and strategic value creation.Provide statistical analysis, forecasting, predictive modelling, prescriptive analytics, simulation and optimisation to discover trends, opportunities and threats.Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement/optimisation at the business unit.Use data to support and optimise decision making, including predictive decision-making across the business value chain from the pit right through to the port.Ensure the availability of approved resources (skills, funding, technology, etc.) for modelling initiatives, driving change and influencing a wide range of stakeholders.Communicate and present findings and recommendations to management and business.May coach junior data scientists.Minimum RequirementsQUALIFICATIONS:BEng Engineering (Relevant) (Essential/Minimum or)B Degree (Relevant) (Essential/Minimum)EXPERIENCE:3-5 years Relevant practical or commercial analytics with coding experience in mining or related environments. Technical expertise in ML languages, packages and techniques. A proven track record of successfully leading business integration projects in the fields of data science and machine learning. Sound people and relationship skills that foster collaboration, project management, communication and teamwork. (Essential/Minimum) OperationalREQUIREMENTS:Psychometric Assessment (Essential/Minimum)Certificate of Fitness (Essential/Minimum) Duties & ResponsibilitiesBest Practice and Knowledge ManagementIntellectual property management and protectionCreate and manage professional networksParticipate in tertiary educational relationshipsParticipate in professional external forumsContinuously monitors exchange and preservation of information between operations and individuals to facilitate effective knowledge managementStay abreast with advances in field of business improvement, data science and innovationxBusiness Performance and Continuous ImprovementMonitor Value Chain throughput and identify Improvement opportunitiesAnalyse data captured in the Integrated Operations Centre (IOC) to understand the dynamics and variability within the value chain and identify process bottlenecksCollect, organise (clean and transform) and analyse data using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and present these to relevant stakeholders towards influencing improvement, optimisation and prediction across the Business Unit (BU) value chainCreate new insights from predictive statistical modelling activities that target and deliver valueBusiness Review ProcessSupport the business review process by evaluating critical performance areas - 6 monthly, quarterly and monthly within operational function level (mining, beneficiation, engineering etc. or for a smaller business unit)Implement and track metrics to enable measurement of process efficiency and effectiveness; auditing of current processes and identification of areas of opportunityCompliance, Governance and AssuranceExecute responsibilities in accordance to relevant governance, policies and proceduresIn preparing and building data science models: follow a structured and approved process and follow the Information Management (IM) governance in deploying and industrialising modelsResponsible for safe keeping and tracking of all relevant documentationCustomer and Client Relationship ManagementEstablish and maintain key relationships with stakeholdersCollaborate and communicate effectively with stakeholdersProvide relevant and specialised support to stakeholdersKey stakeholders for this role including IOC team members; Digital Value Chain Leads (DVCL), Lead Value Chain Integrator, Business Improvement, Centralised Data Scientists/Principal Industrial Engineer, Data owners and technicians, IM, BU Production TeamMaintain extensive internal and external professional networksData analytics and business insightsUse analytic techniques to understand the dynamics and variability within the value chain and identify process bottlenecksCollect, organise (clean and transform) and analyse data using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and present these to relevant stakeholders towards influencing improvement, optimisation and prediction across the Business Unit value chainCreate new insights from predictive statistical modelling activities that target and deliver valueWork closely with business stakeholders (IOC team, Business Improvement and DVCL) to identify value and business needs and translate them into concrete problem statements to deliver onWhere applicable delivery may require the inclusion/handover to project-based data scientistsIn preparing and building data science models: follow a structured and approved processLeverage the appropriate teams to clean and transform data when necessaryFollow the IM governance in deploying and industrialising modelsMonitor and follow-up on built models when in production to ensure good performance & value creation and update as appropriateStrive to align focus to Top 5 and P75 and inversely use analytic insights to influence direction setting in these processesPlay a role in guiding focus areas for digitalisationBe competent in working with any type of data — both structured and unstructuredUnderstand when a problem is a data science problemDocument and maintain an understanding and representation of the BU data landscapeEstablish data requirements around value chain problems and where data gaps exist, work with technicians and data owners to close gapsUtilise appropriate indicator/value models for data science initiatives for the purposes of prioritisation and benefit tracking, in collaboration with Business Improvement and Value Chain IntegratorsCreate frameworks to measure success, partner with Value Chain Integrator’s to define success metrics, create approaches to track the data and troubleshoot errors, quantify and evaluate the data, then develop a common language and effective visualisation for all colleagues to understand these Key Performance Indicators (KPIs)Operationalize data processes - provide the team with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the businessDevelop and disseminate models according to an agile (MVP) approachVisually represent models in a compelling storyIdentify and build the right user experience so that the output of data science/machine learning workflows is easily interpretable for and actionable by the business usersActively participate in cross BU Communities of Practice (CoPs) and Forums to build skill, synergies and scalingSafe and Healthy Work EnvironmentEstablish and maintain a healthy environment and safe operations Practices throughout the Market to Resource value chainEnsure compliance with all applicable Safety Health and Environmental (SHE) policies and procedures in line with set standardsEncourage a culture that focuses on SHE in all operationsSet design standards in accordance with safe work principlesPromote adherence to all SHE practices and promote good housekeeping on an ongoing basisAddress all unsafe practices and potential hazardous situations, rectify and report to superiorComply with SHE requirements at all timesTechnical SupportUnderstand the strategic direction set by senior management as it relates to focus areasIdentify and rank initiatives in line with business priorities and an appropriate data science feasibility frameworkApproach problems in a systematic wayApply a system thinking approach to all tasksInteract with peers and/or management, with confidence and professionalismEnsure user adoption of developed and industrialised modelsProvide input in the evolution and continuous improvement of the IOCWork with multi-disciplinary teams across multiple reporting linesFoster a culture of high performance and collaboration across multiple teamsBehavioural AlignmentDemonstrates the following:Creativity, collaboration, sociable and awareness to the ecosystemStewardship, accountability, ability to develop trust, safety conscious and ethicalAbility to respond quickly to business needs/agility, flexibility, continuous learning, innovation and proven ability to experiment on creative business solutionsAbility to be inclusive, eagerness for multiple skills, embraces multiple cultures, accepts different approaches and be human-centric/empatheticResults oriented, quality driven, excellence, entrepreneurial abilities, efficient and effectiveThe appointment will be made in accordance with Exxaro’s Employment Equity policy.If you have not been contacted within 28 days of the closing date of this advertisement, please accept that your application was unsuccessful.
