Senior Data Scientist - AI Focus

Placements24; Noord-Kaap; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Salary with bonuses

Hybrid work model

Medical benefits

Retirement benefits

Learning opportunities

Collaborative culture

Job summary

Placements24 in Kimberley, South Africa, seeks a Senior Data Scientist to lead AI/ML projects, develop predictive models, and mentor junior staff.

You will work with cross-functional teams on data-driven strategies, design experiments, and communicate insights through visuals and reports. Strong statistical background and cloud experience preferred.

Master or PhD in quantitative field, 5+ years in data science required; Python or R proficiency is essential.

Qualifications

• Master’s or PhD in a quantitative field.
• Minimum 5+ years in data science with AI/ML focus.
• Proficient in Python or R and common libraries.
• Experience with big data technologies and cloud platforms is a plus.

Responsibilities

• Develop and implement advanced ML models for predictive analytics, classification, and pattern recognition.
• Explore, clean, and transform large, complex datasets to prepare them for analysis and modeling.
• Design and execute experiments to test hypotheses and validate model performance.
• Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations and reports.
• Mentor junior data scientists and contribute to the team's best practices in data science and AI development.

Skills

Python

R

Pandas

NumPy

scikit-learn

Machine Learning

AI

Experiment design

Education

Master's degree

PhD

Tools

Spark

Hadoop

Cloud platforms

Job description

About the Role

Our client is seeking a highly experienced Senior Data Scientist with a strong focus on AI and Machine Learning to join their dynamic team in Kimberley . You will leverage vast datasets to uncover insights, build predictive models, and develop intelligent solutions that drive business growth and innovation. This role involves leading complex data science projects, mentoring junior team members, and collaborating with cross-functional teams to implement data-driven strategies. The ideal candidate possesses deep analytical skills, advanced statistical knowledge, and practical experience in applying AI techniques to solve real-world business problems.

Key Responsibilities

• Develop and implement advanced machine learning models for predictive analytics, classification, and pattern recognition.
• Explore, clean, and transform large, complex datasets to prepare them for analysis and modeling.
• Design and execute experiments to test hypotheses and validate model performance.
• Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations and reports.
• Mentor junior data scientists and contribute to the team's best practices in data science and AI development.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a significant focus on AI/ML projects.
• Proficiency in Python or R, and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn).
• Strong understanding of machine learning algorithms, statistical modeling, and experimental design.
• Experience with big data technologies and cloud platforms is a plus.

Benefits

• Attractive salary package with performance-based bonuses.
• Hybrid work model offering flexibility and work-life balance.
• Comprehensive medical and retirement benefits.
• Opportunities for continuous learning, training, and attending industry events.
• A collaborative and intellectually stimulating work environment in Kimberley .