Data Scientist (Johannesburg) at Basalt

Role Overview:

We are looking for an innovative Data Scientist to join our team and help us extract insights and knowledge from our data to drive business value. In this role, you will be responsible for collecting, cleaning, and transforming data, developing statistical and machine learning models, and presenting your findings to stakeholders in a clear and concise manner. The ideal candidate will have a strong background in statistics, mathematics, and programming, and the ability to collaborate effectively with stakeholders to understand business objectives and identify opportunities where data can be used to drive value. If you are a self-starter with a passion for using data to solve complex business problems, we encourage you to apply for this exciting opportunity.

What you will do:

• Collect, clean and transform data.
• Gather data from various sources and perform necessary cleaning and transformations to ensure the data is usable for analysis.
• Develop statistical models to extract insights and make predictions from the data.
• Create machine learning models to develop models that can make predictions or classifications on new data
• Communicate results and present findings in a clear and concise manner to both technical and non-technical stakeholders.
• Collaborate with stakeholders to understand business objectives and identify opportunities where data can be used to drive value.
• Stay up to date with emerging technologies in data science and apply them to solve problems efficiently and effectively.

What you need to have:

• BSc/BA in Computer Science, Engineering, Applied Mathematics or Physical Statistics being beneficial.
• Technical expertise using data models, data mining, and segmentation techniques.
• Knowledge of programming languages, such as Java, JavaScript, C, C++ and Python.
• A variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• 4+ years experience in a data science role
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
• Visualising/presenting data for stakeholders using: Tableau, Periscope, Business Objects, D3, ggplot, Matplotlib, Plotly, Bokeh, etc.
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Design data modelling processes to create algorithms and predictive models and perform custom analysis.
• Web services: Redshift, S3, Spark, DigitalOcean, etc
• Statistical and data mining techniques
• GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.