The Data Scientist works under the guidance of the Technology team and will be responsible for analyzing raw information (particularly unstructured text data) to find patterns, build models to address business problems, and present information using various data visualization techniques and platforms. Applying business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools
opportunity for a Data Analyst / Data Scientist in a Sage X3 ERP environment. Data gathering, cleansing cleansing, analysis, presentations Data interpretation Data Visualisation Descision support Report writing charge organisation with valuable insights into data resources Min Qualifications – Degree in Maths /
marketing agency with a passion and knowledge in SEO, data and analytics, content and paid media. As specialists clients grow organically online through the use of data driven strategies and insights.They are not a creative markets, which in turn allows them to use real time data to build strategies that will help clients' businesses is looking for a skilled and experienced Data Scientist / Data Engineer to join their dynamic team. The will have a strong background in data science, data analysis, or data engineering, with extensive experience
client based in Cape Town as a Senior Project Scientist. Manage the skills development centre and laboratory Cape Town. Supervise laboratory staff, including scientists, technicians, and assistants, providing guidance
Working Hours: 8:00 am - 17.00, Monday to Friday, Salary: R15,000 CTC Per Month About our Client: A Dynamic deadlines; Proficiency in Office software and tools. Salary : R15 000 CTC per month
Identify and target potential customers to expand our client base. Establish and nurture strong relationships with contractors, builders, and DIY enthusiasts. Demonstrate our wide range of tools and equipment, highlighting their value for diverse projects. Collaborate with existing clients to unders
Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets • Modern code development practices
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
processing data from over 200 source systems. The role involves cleaning and aggregating data through our will improve and streamline processes regarding data flow and quality, working both independently and skills
Qualifications
Talend
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets Modern code development practices Extensive