Hybrid Data Scientist: ML & Insights for Impact

Placements24; Bloemfontein; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Medical, dental, and vision insurance

Hybrid work model providing flexible

Access to advanced computing resources

Collaborative environment in Bloemfon

Job summary

Placements24, Bloemfontein, is seeking an analytical and innovative Data Scientist to join our growing team. You will leverage advanced statistical techniques and machine learning to extract insights from complex datasets, driving data-informed decisions across the organization.

You will develop predictive models, communicate findings to technical and non-technical audiences, and collaborate with engineering and product teams to implement data-driven solutions in a hybrid work environment.

Qualifications

• Master's or PhD in a quantitative field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong Python or R programming skills and related libraries.
• Experience with SQL and data manipulation tools.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and preprocess large datasets from multiple sources.
• Develop, train, and evaluate ML models and statistical algorithms.
• Analyze data to identify trends, patterns, and actionable insights.
• Visualize findings and present results to stakeholders via dashboards.
• Collaborate with engineering and product teams to deploy data-driven solutions.
• Stay current with advances in DS, ML, and AI.

Skills

Python

R

SQL

Statistics

Machine Learning

Data Visualization

TensorFlow

PyTorch

Communication

Education

Master's or PhD in Data Science/Statistics/CS

Tools

scikit-learn

TensorFlow

PyTorch

Jupyter

Git

Job description

Placements24, Bloemfontein, is seeking an analytical and innovative Data Scientist to join our growing team. You will leverage advanced statistical techniques and machine learning to extract insights from complex datasets, driving data-informed decisions across the organization.

You will develop predictive models, communicate findings to technical and non-technical audiences, and collaborate with engineering and product teams to implement data-driven solutions in a hybrid work environment.