understanding of software development life cycle models. Knowledge of both Agile and traditional project communicating those requirements and solutions in a fashion that satisfies both the client and Direct Transact
using sophisticated analytics and Machine Learning models to address difficult business challenges and generate departments to design data strategies, build models, and embed those models into software-driven business processes Feature Engineering, and Model Evaluation. DUTIES: Data Analysis and Modeling – Develop and deploy Machine Machine Learning and Artificial Intelligence models and algorithms to extract insights, predict outcomes data for modeling. Work with Data Engineering teams to ensure data availability and quality. Model Evaluation
statistical analysis, forecasting, predictive modelling, simulation and optimisation to discover trends statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore questions. o Design advanced analytics (quantitative) models that will answer key business questions or discover increased revenue or reduced costs. o Analyse model results, interpret findings and communicate these based on model results. o Run and automate regular reporting and operationalise successful models. o Establish
statistical analysis, forecasting, predictive modelling, simulation and optimisation to discover trends statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore questions. o Design advanced analytics (quantitative) models that will answer key business questions or discover increased revenue or reduced costs. o Analyse model results, interpret findings and communicate these based on model results. o Run and automate regular reporting and operationalise successful models. o Establish
able to use all Microsoft Office applications. Must show excellent communication, analytical and troubleshooting experience with a Service Desk Application Must show a good understanding between Software, Application
cases. Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. Presentation of data science opportunities and model outcomes to a variety (must). Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP and Skills Strong data exploration, analytical, modeling, and reporting skills Strong communication and
communicating those requirements and solutions in a fashion that satisfies both the client and Direct Transact
a Senior C#/ASP.Net Developer to work a Hybrid Model with the following skill sets: 5 years as a Developer
works purposes using GPS survey equipment Use of Model Maker software to manipulate survey data to generate Computer literate and use of engineering software (Model Maker, GIS software, data collection software) Ability
Strong understanding of CRM data models, workflows, security models, and APIs. Experience with web development