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- Analyze raw data: assess quality, cleansing, structuring for downstream processing.
- Apply the scientific method to data and problems to establish, test and refine hypotheses.
- Visualize and present scientific results effectively for a business audience.
- Design and train accurate and scalable machine learning algorithms.
- Collaborate with the engineering team to bring analytical prototypes to production.
- Generate actionable insights for business improvements (and develop measures to track business improvement).
- Ongoing client interaction to understand their challenges and create solutions.
- The ideal candidate will possess the following qualifications and criteria:
- Bachelor's degree or equivalent experience in quantitative field (Operations Research, Statistics, Applied Mathematics, Computer Science, Engineering, etc.)
- At least 1 year experience working with programming (R and/or Python and/or Julia)
- Skills:
- Deep understanding of optimisation, predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
- Fluency in a programming language (e.g. Python,Julia, R,)
- Familiarity with relational databases, preferably PostgreSQL
- Experience using source control and continuous integration with Git (e.g. Gitlab/Github)
- Preferably some exposure to Linux.
- Docker / Kubernetes knowledge is an advantage but not required.
- A firm understanding of and experience with the scientific method
- Experience and excellence in data driven storytelling
Data Scientist - Gauteng - OfferZen Ltd

3 weeks ago

Description
Job Description
The primary function of the Data Scientist role is to convert data into information by applying the scientific method, and then communicate these results effectively with business stakeholders.
This includes being able to interpret a business problem and create mathematical and statistical models that accurately represent the problem, cleaning data and performing exploratory analyses, applying advanced quantitative techniques and machine learning algorithms to data, visualizing results succinctly, and providing continuous feedback to customers on progress, performance, insights and next steps.
A data scientist is primarily a scientist, and should view the scientific method as their north star, but a consulting data scientist has the added responsibility of being a consultant, meaning clarity of purpose, first class exposition and the ability to track and plan projects are also of paramount importance.
Responsibilities
Qualifications and Criteria
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