Senior Data Scientist - Machine Learning

Placements24; Gauteng; On-site; ZAR 1,000,000 - 1,700,000; Full time

Benefits offered by this job

Competitive salary packages

Health, wellness & retirement benefits

Growth and conference opportunities

Access to state-of-the-art technology

Job summary

Placements24 in Pretoria, Gauteng, seeks an experienced Senior Data Scientist to lead the development and enhancement of AI platforms within its Technology division. The role focuses on building scalable AI infrastructure to support a wide range of ML applications, and to architect core components for next-generation AI platforms.

The ideal candidate holds a PhD or Master’s in a quantitative field, has 7+ years in data science, and can lead and mentor teams while delivering production ML systems

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of data science experience with a focus on machine learning development and deployment.
• Proven track record leading and managing data science teams and projects.

Responsibilities

• Lead and mentor a team of data scientists, fostering a collaborative and high-performing environment.
• Design, develop, and deploy sophisticated machine learning models for prediction, classification, and recommendation systems.
• Conduct in-depth data analysis, feature engineering, and model evaluation to ensure accuracy and relevance.
• Collaborate with stakeholders across departments to identify business opportunities and translate them into data science projects.
• Stay abreast of the latest advancements in data science and machine learning, and advocate for their adoption.
• Develop robust data pipelines and ensure scalability and efficiency of ML solutions in production.

Skills

Data science

Machine learning

Team leadership

Communication

Python

R

Education

Master's/PhD in quantitative field

Tools

Python

R

Scikit-learn

TensorFlow

PyTorch

Job description

Our client is seeking an experienced Senior Data Scientist to lead the development and enhancement of AI platforms within their Technology division in Pretoria. This role focuses on leveraging advanced data science techniques to build scalable, robust, and efficient AI infrastructure that supports a wide range of machine learning applications. You will be instrumental in defining the architecture and implementing the core components of our next-generation AI platforms. This is an exciting opportunity to work on challenging problems, collaborate with top talent, and make a substantial impact on the company's technological capabilities, based in the administrative capital of Gauteng.

Key Responsibilities

• Lead and mentor a team of data scientists, fostering a collaborative and high-performing environment.
• Design, develop, and deploy sophisticated machine learning models for prediction, classification, and recommendation systems.
• Conduct in-depth data analysis, feature engineering, and model evaluation to ensure accuracy and relevance.
• Collaborate with stakeholders across various departments to identify business opportunities and translate them into data science projects.
• Stay abreast of the latest advancements in data science and machine learning, and advocate for their adoption.
• Develop robust data pipelines and ensure the scalability and efficiency of ML solutions in production.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Extensive experience (7+ years) in data science, with a significant focus on machine learning development and deployment.
• Proven track record of leading and managing data science teams and projects.
• Expertise in programming languages such as Python or R, and proficiency with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

Benefits

• Highly competitive salary package with attractive bonus structures.
• Comprehensive health, wellness, and retirement benefits.
• Generous opportunities for professional growth, including training and conference attendance.
• Access to state-of-the-art technology and resources.