Data Scientist

3 weeks ago

Pretoria, South Africa Fempower Personnel Full time

Our client has an opportunity available for a Data Scientist in Utilities based in Pretoria.

**Requirements**:

- Bachelor’s or Honour’s degree in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, Actuarial Science or equivalent experience.
- Masters in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics would be advantageous.
- 3+ years’ experience in data science and analysis.
- Proficient in Python, R, and data management technologies.
- Valid driver’s license.
- Ability to communicate with executives and senior management across sectors.
- Basic understanding of finance and human capital management processes.

KPAs:

- Support the Chief Digital Officer and Senior Data Architect using a variety of state-of-the-art cloud-based technologies to solve data analysis and prediction problems.
- Identify and act on new opportunities for data driven business in data science and analytics.
- Recognise when existing solutions can be generalised to solve new problems.
- Work in a collaborative environment developing data science methods, tools, and algorithms to solve problems.
- Become fluent in analytical modelling using the company’s internal data modelling platforms and tools.
- Cloud
- Big Data
- Machine Learning
- Analytics and Visualisation
- Languages such as: Python, R and SQL.
- Associated tools and technologies as they become available, and the platform evolves.
- Load and merge data originating from diverse sources.
- Pre-process and transform data for model building and analysis.
- Troubleshoot data quality issues and work with team members to reach solutions.
- Perform descriptive analytics to discover trends and patterns in the data.
- Create visualizations to provide insights on large data sets and input to finished reports.
- Develop predictive models for business solutions.
- Analyse output products to assure data quality and conformance to requirements.
- Develop technical specifications for 3rd party platform data integration and streaming.
- Participate in continuous improvement efforts to increase available data quality and delivery speed.
- Address ad-hoc domain-specific data analytic requirements from domain or cluster leaders.

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