Senior Data Scientist

Placements24; Centurion; On-site; ZAR 1,000,000 - 1,400,000; Full time

Benefits offered by this job

Bonus structure

Health insurance

Training conferences

Centurion office

Generous leave

Job summary

Placements24 is seeking a Senior Data Scientist in Centurion to leverage large datasets, build predictive models, and drive data-informed decisions across the organization. You will work with stakeholders to understand challenges and craft data-driven solutions, using cutting-edge technologies in a collaborative, curiosity-driven environment.

The role emphasizes impactful analytics, rigorous experimentation, and effective communication of insights to both technical and non-technical audiences,

Qualifications

• Master’s or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or related discipline.
• 5+ years of experience in data science, ML, or statistical modeling.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills for data extraction and manipulation.
• Experience with big data technologies and data warehousing concepts.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Develop and implement advanced statistical models and ML algorithms to solve complex business problems.
• Extract, clean, and transform large datasets from various sources for analysis.
• Design and execute experiments to test hypotheses and measure impact of initiatives.
• Visualize and communicate findings to both technical and non-technical audiences.
• Collaborate with engineering teams to deploy models into production environments.
• Stay current with the latest in data science, ML, and AI.

Skills

Data science

Python

R

SQL

Communication

Analytical thinking

Education

Master’s or PhD in statistics, CS, or math

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

About the Role

Our client is seeking a highly analytical and innovative Senior Data Scientist to join their growing analytics team in Centurion . In this role, you will leverage vast datasets to uncover insights, build predictive models, and drive data-informed decision-making across the organization. You will work closely with business stakeholders to understand their challenges and develop data-driven solutions. This is an opportunity to work with cutting-edge technologies and make a significant impact on business strategy, contributing to a culture that values curiosity, data integrity, and continuous learning in the field of advanced analytics.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.
• Extract, clean, and transform large datasets from various sources for analysis and modeling.
• Design and execute experiments to test hypotheses and measure the impact of new initiatives.
• Visualize and communicate complex findings and recommendations to both technical and non-technical audiences.
• Collaborate with engineering teams to deploy models into production environments.
• Stay abreast of the latest advancements in data science, machine learning, and AI.

Requirements

• Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or related discipline.
• 5+ years of experience in data science , machine learning, or statistical modeling.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills for data extraction and manipulation.
• Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Attractive annual salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Opportunities for attending advanced training and conferences.
• A collaborative work environment in our modern Centurion office.
• Generous annual leave and retirement savings plan.
• Access to powerful computing resources and diverse datasets.