Experienced with Assembla and Github a plus Familiarity with Azure DevOps a plus Familiarity with further processes growth of a globally used platform Knowledge of AWS a plus Reference Number for this position is GZ59105 which
machine learning, statistical and mathematical models to solve business problems and enable the effective technologies and model data preparation. Responsibilities: Build statistical models Manage the development Define strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement validate the effectiveness of the models Monitoring/Calibration of models Effective self-management and teamwork
structured and unstructured data sets. Responsibilities: Model complex business problems, discovering insights intelligent automation and predictive modelling. Build machine learning models from and utilises distributed Kafka. Provide input into Data management and modelling infrastructure requirements and adhere to the Ensure business integration through integrating model outputs into end-point production systems, are understood Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses. Qualifications
deploying BI solutions (e.g., data warehousing models) and creating visualizations and reports for requested in SQL, SSRS, Excel Work with the team in data modelling, database design, creating efficient SQL for fast Production experience working with at least modern modelling tools - on premise and / or in the cloud (e.g Analytics) Production experience working with DAX modelling measures (e.g. Power BI, Analysis Services, DAX
relevant to business objectives. Develop predictive models and machine learning algorithms to forecast customer teams to analyse large datasets, develop predictive models. Qualifications and Experience: Bachelor's or Master's data analysis, machine learning, and predictive modelling. Proficiency in programming languages such as
high performance, apply now Responsibilities: Modelling of complex business problems. Identifying opportunities automated controls. Identify and build appropriate models/other solutions for use in the company's operations
both predictive and prescriptive machine learning models that will assist with increasing strategic and and recommendations based on data analysis and modeling concluded and where relevant with knowledge and
each client is unique and solutions are not “one size fits all” This business is attractive to Java Dev's
/ statistical models to enable data driven decision making. Identify appropriate models / algorithms to
with hardware such as 3D cameras and/or Arduinos a PLUS Interest in the marketing industry and global brands