Data Scientist
7 months ago
**Who We Are**:
Basalt is an award-winning software development company with over 20 years of combined experience in the Financial Services, Health, and Telecommunications industries. We offer the most comprehensive suite of custom software development services, ranging from rapid MVP development to custom re-engineering, testing, and UX design. We convert business problems into technological solutions. Our cross-functional teams design and implement the future of our client's projects. We hire strong communicators who can bridge the gap between business value and technology. We navigate unknowns better, remove blockers faster, and understand problems more deeply.
**Our Purpose**:
To be Africa & Europe's most innovative and disruptive technology company. Talented people are lining up to join Basalt, and the right clients or customers are fighting to be part of our magic.
**Our Core Values**:
Basalt is a values-driven business. Simple. The way we treat our teammates, the way we treat our clients and suppliers, the quality of work we deliver, the way we communicate, the way we problem solve, even the way we think, everything we do or say is rooted in our values. Our collective actions established our six simple yet fundamentally profound values which are our North Star.
1. Solutions orientated - We find a way or make one.
2. No BS - We are all adults, and our attitude reflects that.
3. On-time, every time - If we say we'll deliver, it's as good as done.
4. Own our work - We are responsible and take pride in our work.
5. Move fast - We are decisive and efficient.
6. People before code - We are a family and look out for each other. Always
**Role Overview**:
**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.
**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.
- 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.
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