Hybrid Senior Data Scientist & ML Engineer — Impact & Growth

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

Benefits offered by this job

Medical aid

Retirement benefits

Professional development

Conference opportunities

Job summary

Placements24 in Stellenbosch, Western Cape, seeks a Senior Data Scientist & Machine Learning Engineer to join a hybrid team. Build, train, and deploy ML models to solve business problems and extract insights from large datasets.

You'll design data pipelines, perform EDA, evaluate models, and work with software engineers to productionize solutions. A strong background in statistics, ML, and data engineering is required.

Qualifications

• Master's or Ph.D. in CS, Statistics, Mathematics, Physics, or related field.
• 5+ years in data science and ML roles.
• Proven experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, or Keras).
• Strong Python or R skills with Pandas/NumPy.

Responsibilities

• Develop, train, and deploy ML models addressing business challenges.
• Perform EDA to identify trends and anomalies in large datasets.
• Design data pipelines for data collection, cleaning, and preparation for training.
• Evaluate model performance using appropriate metrics and statistical techniques.
• Collaborate with software engineers to productionize ML models.
• Stay updated on ML/AI advancements and communicate findings to stakeholders.
• Mentor junior data scientists and contribute to the team’s development.
• Ensure data quality, integrity, and ethical considerations.
• Contribute to development of data strategies and roadmaps.

Skills

ML modelling

Data analysis

Python/R

Communication

Hybrid collaboration

Education

Advanced degree (MSc/PhD)

Tools

TensorFlow

PyTorch

scikit-learn

Keras

Spark

SQL/NoSQL

Job description

Placements24 in Stellenbosch, Western Cape, seeks a Senior Data Scientist & Machine Learning Engineer to join a hybrid team. Build, train, and deploy ML models to solve business problems and extract insights from large datasets.

You'll design data pipelines, perform EDA, evaluate models, and work with software engineers to productionize solutions. A strong background in statistics, ML, and data engineering is required.