Job Description

Job Details

Department other
Minimum experience Mid-Senior
Company primary industry Information Technology and Services
Job functional area Information Technology

Salary R650 000 - R850 000 per annum

Job Specification: Data Scientist

Position: Data Scientist

Job Summary:
As a Data Scientist, you will be responsible for designing, developing, and implementing data-driven solutions for our organization. Using statistical analysis, data mining techniques, and machine learning algorithms, you will extract insights and patterns from complex datasets to drive data-driven decision-making across various departments.

Key Responsibilities:
1. Analyze complex datasets to identify trends, patterns, and correlations using statistical analysis and machine learning algorithms.
2. Develop predictive models, algorithms, and simulations to solve business problems, improve processes, and optimize decision-making.
3. Clean, preprocess, and manipulate data to ensure data quality and integrity.
4. Collaborate with cross-functional teams to extract, interpret, and present actionable insights and recommendations from data analyses.
5. statistical techniques such as hypothesis testing, regression, clustering, and time series analysis to analyze and interpret data.
6. Use programming languages such as Python, R, or SQL to extract, merge, and preprocess large datasets from multiple sources.
7. Develop data visualizations, dashboards, and reports to present findings and insights to stakeholders.

Qualifications and Skills:
1. Bachelor's or master's degree in Data Science, Computer Science, Statistics, or a related field.
2. Proven experience as a Data Scientist or similar role, preferably in a business or industry setting.
3. Strong analytical and problem-solving skills with exceptional attention to detail.
4. Proficiency in statistical analysis, data mining, and machine learning techniques.
5. Experience with programming languages such as Python, R, or SQL for data manipulation and analysis.
6. Demonstrated knowledge of data visualization tools, such as Tableau, Power BI, or D3.js.
7. Familiarity with cloud computing platforms, big data technologies, and distributed computing frameworks.