Senior Data Scientist - Machine Learning

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

Benefits offered by this job

Performance bonus

Health, dental, and vision insurance

Retirement plan with employer match

Professional development support

Challenging work environment

Job summary

Placements24, on behalf of our client, seeks a Senior Data Scientist with expertise in machine learning to join the Vereeniging team. You will develop and deploy advanced ML models to drive business insights and product innovation, collaborating with engineering and product management.

You will lead data science projects, mentor juniors, and translate complex findings for technical and non-technical stakeholders, contributing to strategic direction and solving real-world problems with large

Qualifications

• Ph.D. or Master's degree in a quantitative field is required.
• 6+ years of professional data science experience focusing on ML.
• Experience building/deploying ML models with popular frameworks.

Responsibilities

• Design, develop, and implement advanced ML models for prediction/classification/optimization.
• Lead end-to-end data science projects from data prep to deployment.
• Analyze large datasets to identify trends and insights.
• Collaborate with engineering to productionize ML models.
• Mentor junior data scientists and promote best practices.

Skills

Machine Learning

TensorFlow/PyTorch/Scikit-learn

Python/R

SQL & Big Data

Statistical Modeling

Problem Solving

Education

PhD or MSc in CS/Statistics/Math

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

About the Role

Our client is seeking an accomplished Senior Data Scientist with expertise in Machine Learning to join their dynamic team in Vereeniging . This role involves developing and deploying sophisticated ML models that drive business insights and product innovation across various sectors. You will lead complex data science projects, mentor junior data scientists, and collaborate closely with engineering and product management teams to translate data-driven discoveries into tangible business value. This is a prime opportunity to work on challenging problems, utilize large datasets, and contribute to the strategic direction of the company through advanced analytical techniques.

Key Responsibilities

• Design, develop, and implement advanced machine learning models for prediction, classification, and optimization tasks.


• Lead the end-to-end data science project lifecycle, from data acquisition and preprocessing to model evaluation and deployment.


• Analyze large and complex datasets to identify trends, patterns, and actionable insights.


• Collaborate with engineering teams to integrate ML models into production systems and applications.


• Mentor junior data scientists, providing technical guidance and fostering best practices in model development and validation.


• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.


• Minimum of 6 years of professional experience in data science, with a strong focus on machine learning.


• Proven expertise in developing and deploying ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.


• Proficiency in programming languages like Python or R, and experience with SQL and big data technologies.


• Solid understanding of statistical modeling, experimental design, and data mining techniques.


• Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

Benefits

• Highly competitive salary and performance-based bonus.


• Comprehensive health, dental, and vision insurance coverage.


• Retirement savings plan with employer matching.


• Generous allowance for professional development, including conferences and courses.


• A stimulating work environment with opportunities to tackle challenging, real-world problems.