Senior Data Scientist - Machine Learning Specialist

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Medical aid

Life insurance

Hybrid work model

Continuous learning opportunities

State-of-the-art technology

Job summary

Placements24 in Benoni, Gauteng, is seeking a Senior Data Scientist specializing in Machine Learning to lead model development and deployment for business insights.

The role requires a PhD or Master’s in a quantitative field with 5+ years of experience, strong Python or R skills, and hands-on ML library expertise (scikit-learn, TensorFlow, PyTorch, Keras). A hybrid setup in Benoni enables collaboration with in-person teams and remote work options.

Qualifications

• PhD or Master's degree in CS/Statistics/Mathematics/Physics or related field.
• 5+ years of professional data science and ML experience.
• Strong programming skills in Python or R.

Responsibilities

• Design, develop, and deploy ML models for business applications.
• Analyze large datasets to identify trends and actionable insights.
• Collaborate with stakeholders to translate business needs into data science solutions.
• Evaluate and improve the performance of ML models.
• Develop and maintain data pipelines for model training and deployment.
• Stay current with AI advancements and communicate results clearly.
• Mentor junior data scientists and contribute to team growth.

Skills

Python

R

Machine Learning

Statistical modeling

Data mining

Communication

Problem solving

Education

PhD or Master's degree in CS/Statistics/Mathematics/Physics

Tools

scikit-learn

TensorFlow

PyTorch

Keras

Spark

Hadoop

SQL

Job description

About the Role

Our client, a pioneer in data-driven insights and artificial intelligence, is actively seeking a Senior Data Scientist with a specialization in Machine Learning. This exciting opportunity is based in Benoni, Gauteng, where you will lead the development and deployment of sophisticated machine learning models that drive business innovation. You will be instrumental in tackling complex analytical challenges, extracting valuable insights from vast datasets, and building predictive models that shape strategic decisions. The ideal candidate will possess a strong theoretical foundation in machine learning algorithms, practical experience in applying these techniques to real-world problems, and a passion for staying at the forefront of AI advancements. Join a team of brilliant minds in Benoni and contribute to cutting-edge data science projects.

Key Responsibilities

• Design, develop, and implement machine learning models for various business applications, including prediction, classification, and clustering.
• Analyze and interpret large, complex datasets to identify trends, patterns, and actionable insights.
• Collaborate with stakeholders to understand business needs and translate them into data science solutions.
• Evaluate and improve the performance of existing machine learning models.
• Develop and maintain robust data pipelines for model training and deployment.
• Stay current with the latest research and advancements in machine learning and artificial intelligence.
• Communicate complex analytical findings and model results clearly to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the growth of the data science team.

Requirements

• Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of professional experience in data science and machine learning.
• Strong proficiency in programming languages commonly used in data science, such as Python or R.
• Extensive experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
• Solid understanding of statistical modeling, data mining, and algorithm development.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Proficiency in SQL and experience working with various database systems.
• Excellent problem-solving, analytical, and communication skills.

Benefits

• Our client offers a competitive salary, generous performance bonuses, and a comprehensive benefits package including medical aid and life insurance.
• Employees will enjoy access to state-of-the-art technology, continuous learning opportunities, and a collaborative work environment focused on innovation.
• This hybrid role offers flexibility, combining remote work with essential in-person collaboration at our Benoni offices.