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
Location: Menlyn Maine, Pretoria Hybrid Work Model: Three days a week at the office Industry: Financial understanding of software development life cycle model Knowledge of both Agile and traditional project communicating those requirements and solutions in a fashion that satisfies both the client and the company
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Data Analysis and Modelling:
machine learning, statistical and mathematical models to solve business problems and enable the effective data by utilising cutting-edge technologies and model data preparation.
Responsibilities:
Reporting) Support
efficiency and availability.
BW / SAP SAC. Data Modelling and data engineering skills. SAP BW 7.5 Data Modelling and BEX skills SAP SAP BW4/HANA Data Modelling skills SAP BW4/HANA Query Modelling skills Any additional responsibilities responsibilities assigned in the Agile Working Model (AWM) Charter Don't waste time, apply now
members and stakeholders in a timely and clear fashion