Senior ML Data Scientist - On-Site, Stellenbosch

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

Benefits offered by this job

Annual performance bonus

Stock options

Medical aid

Retirement annuity

Generous leave

Professional development

On-site gym

Team-building events

Job summary

Placements24 in Stellenbosch seeks a Senior Data Scientist specializing in machine learning to develop and deploy models that drive product innovation and optimize operations. This on-site, full-time role requires close collaboration with data engineers, product managers, and stakeholders.

You will work with large datasets, design algorithms, and guide projects from conception to production, mentoring junior data scientists and shaping the organization's data strategy.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years in data science with a ML focus.
• Proficient in Python or R with ML libraries.
• Strong understanding of ML algorithms (regression, trees, SVMs, NN, NLP).
• Experience with large-scale data processing frameworks and databases.

Responsibilities

• Design, develop, and deploy ML models for predictive analytics.
• Extract, clean, and transform large datasets.
• Perform exploratory data analysis to uncover insights.
• Evaluate and optimize model performance with metrics and validation.
• Collaborate with software engineers to deploy models to production.
• Develop and maintain data pipelines and feature engineering processes.
• Stay current with ML/AI advancements.
• Communicate findings to technical and non-technical audiences.
• Mentor junior data scientists and contribute to knowledge sharing.
• Contribute to data strategy and roadmap.

Skills

Python

R

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Spark

SQL

NoSQL

ML algorithms

Education

Master's or PhD in CS/Stats/Math/Physics or related field

Tools

Spark

SQL

NoSQL

AWS

Azure

GCP

Job description

Placements24 in Stellenbosch seeks a Senior Data Scientist specializing in machine learning to develop and deploy models that drive product innovation and optimize operations. This on-site, full-time role requires close collaboration with data engineers, product managers, and stakeholders.

You will work with large datasets, design algorithms, and guide projects from conception to production, mentoring junior data scientists and shaping the organization's data strategy.