Senior Data Scientist

Placements24; Noord-Kaap; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Medical aid and retirement fund

Hybrid work model

Learning opportunities

Job summary

Placements24 in Kimberley, Northern Cape, SA, seeks a Senior Data Scientist to drive advanced analytics and ML initiatives. You will extract insights from large datasets, supporting risk management, customer behavior analysis, and fraud detection.

The role is hybrid, combining on-site collaboration in Kimberley with remote flexibility, and offers opportunities to mentor juniors and deploy models to production as part of a broader data strategy.

Qualifications

• Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or related discipline.
• 5-7 years of professional experience in data science or a related analytical role.
• Proficiency in Python and R.
• Experience with ML libraries: scikit-learn, TensorFlow, PyTorch.
• SQL and big data technologies: Spark, Hadoop.

Responsibilities

• Develop, implement, and maintain advanced statistical models and ML algorithms.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Design and conduct A/B tests and experiments to evaluate model performance.
• Collaborate with stakeholders to translate business problems into data science tasks.
• Develop data visualizations and dashboards to communicate findings.
• Stay updated with advances in data science, ML, and AI.
• Mentor junior data scientists and share knowledge.
• Ensure data quality, integrity, and reliability for analysis.
• Build and deploy predictive models into production environments.
• Contribute to the company's data strategy and roadmap.

Skills

Analytical thinking

Communication skills

Data visualization

Problem solving

Education

Master's or PhD in quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Job description

About the Role Our client, a prominent financial institution, is seeking a highly skilled Senior Data Scientist to join their analytics team in Kimberley, Northern Cape, ZA. This role is pivotal in leveraging advanced analytics, machine learning, and statistical modeling to extract actionable insights from large datasets, driving business strategy and decision-making. You will work on challenging projects, contributing to areas such as risk management, customer behavior analysis, and fraud detection. The ideal candidate will possess a strong theoretical foundation in data science, practical experience with various modeling techniques, and excellent programming skills. This hybrid position requires a blend of on-site collaboration in Kimberley and remote work flexibility. Join a forward-thinking team committed to data-driven innovation.

Key Responsibilities

• Develop, implement, and maintain advanced statistical models and machine learning algorithms.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
• Collaborate with business stakeholders to understand their challenges and translate them into data science problems.
• Develop data visualizations and dashboards to communicate findings effectively.
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Ensure the quality, integrity, and reliability of data used for analysis.
• Build and deploy predictive models into production environments.
• Contribute to the development of the company's data strategy and roadmap.

Requirements

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• 5-7 years of professional experience in data science or a related analytical role.
• Proficiency in programming languages commonly used in data science (e.g., Python, R).
• Strong experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, hypothesis testing, and experimental design.
• Excellent data visualization skills.
• Strong analytical and problem-solving abilities.
• Effective communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
• Experience working in the financial services industry is a plus.
• Familiarity with the Kimberley business landscape is beneficial.

Benefits

• Our client offers a competitive salary, performance bonuses, and comprehensive benefits package, including medical aid and retirement fund contributions.
• The hybrid work model provides a good balance between in-office collaboration and remote flexibility.
• Opportunities for continuous learning, attending conferences, and professional development are readily available.
• This role offers the chance to work on impactful projects within the Kimberley region and contribute to the advancement of data-driven decision-making.