Data Scientist
Remote / Online - Candidates ideally in
Benoni, 1501, South Africa
Listed on 2026-09-06
Benoni, 1501, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-09-06
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
About the Role
Our client is seeking an analytical and skilled Data Scientist to join their hybrid team in Benoni . You will be responsible for analyzing complex datasets, developing predictive models, and extracting actionable insights to drive business decisions. This role involves collaborating closely with various departments to understand their data needs and delivering data-driven solutions. The ideal candidate possesses strong statistical knowledge, programming skills, and a passion for uncovering trends and patterns within data.
This hybrid position offers the best of both worlds, combining focused remote work with in-person collaboration and team building.
- Collect, clean, and preprocess large and complex datasets.
- Develop and implement statistical models and machine learning algorithms.
- Analyze data to identify trends, patterns, and insights relevant to business objectives.
- Create visualizations and reports to communicate findings effectively to stakeholders.
- Collaborate with engineering teams to deploy models into production systems.
- Stay current with the latest advancements in data science and machine learning.
- Master's or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics).
- Proven experience as a Data Scientist or in a similar analytical role.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, Num Py, Scikit-learn).
- Strong understanding of statistical modeling, machine learning techniques, and experimental design.
- Experience with data visualization tools (e.g., Tableau, Matplotlib).
- Excellent problem-solving and communication skills.
- Competitive salary and bonus structure.
- Hybrid work model offering flexibility.
- Comprehensive health, dental, and vision insurance.
- Opportunities for professional development and attending conferences.
- Access to cutting-edge tools and technologies.
- Retirement savings plan.
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