Data Scientist needed at AESG
Job title : Data Scientist
Job Location : Eastern Cape, Port Elizabeth
Deadline : May 19, 2024
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Job Description
We are seeking a highly motivated and experienced Data Scientist, who will be responsible for analysing large datasets, developing machine learning models, and implementing data-driven solutions. They work closely with cross-functional teams within the design and construction sector to gather requirements, clean and pre-process data, and perform exploratory data analysis.
The ideal candidate fits the below profile:
- Strong communication skills
- Motivated and self-driven (entrepreneurial outlook)
- Committed to technical excellence
- Good relationship builders (internal and external)
- Collaborative personality
Key Responsibilities:
- You will be required to assist in developing and maintaining data pipelines, conducting statistical analysis, and visualising data.
- Collect, clean, and pre-process data from various sources to ensure its quality and reliability.
- Develop and implement data pipelines for efficient data extraction and transformation.
- Conduct exploratory data analysis to understand patterns, trends, and anomalies in the data.
- Identify relevant variables and relationships that can inform business decisions.
- Create compelling visualizations to communicate complex findings to non-technical stakeholders.
- Develop dashboards and reports to facilitate data-driven decision-making.
Essential Skills:
- Bachelors degree in Computer Science, Mathematics, or a related quantitative discipline.
- Minimum 3 years experience working as a Data Scientist or in a similar role.
- Proficiency in programming languages such as Python or R is essential.
- Strong understanding of statistical analysis, data manipulation, and data visualization techniques.
- Knowledge of machine learning algorithms and frameworks is desirable.
- Proficiency with Power BI and Excel.
- Strong analytical and problem-solving skills and ability to formulate and test hypotheses, identify patterns and trends in data, and draw meaningful insights from complex datasets.
- Experience in the construction or financial sectors would be a plus but not essential.
How to Apply for this Offer
Interested and Qualified candidates should Click here to Apply Now