Responsibilities: Ability to do routine data cleaning and analysis tasks Identify patterns and correlations etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution, imputation in software and software engineering, financial services data processes, technical business intelligence
A full-service retail and brand execution business that exists to deliver maximum in-store Impact that or operational systems Experience in work with cleaning and validating large sets of data Understanding
the shapeshifters and delivery of products and services. You will be expected to address business opportunities languages like SQL, Python or R, including data cleaning, transformation, and feature engineering. Excellent
the shapeshifters and delivery of products and services. You will be expected to build, optimise and implement languages like SQL, Python or R, including data cleaning, transformation, and feature engineering. Excellent
teams to design and implement data extraction, cleaning, analysis, visualization, and presentation requirements
of top talent who are currently building robust clean code and changing the word of identity one line
Web Design/Development, with a knack for writing clean, efficient, and maintainable code. Tech Toolkit:
powerful data analysis. Build data pipelines that clean, transform, and aggregate data from disparate sources
powerful data analysis. Build data pipelines that clean, transform, and aggregate data. Develop models that
Platforms preferably Kubernetes or Azure Kubernetes Services (AKS) At least 4 years' worth of hands-on software with: Visual Studio IDE, Web Application & Web Services Design & Deployment, REST, GIT and Experience monitoring Microsoft Azure solutions Event Hubs, Service Bus, IoT Hub Experience with Databases SQL and