ML Data Scientist: Build & Deploy Predictive Models

Placements24; Bloemfontein; On-site; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Cutting-edge projects

Welcoming environment

Professional development

Retirement plan

Job summary

Placements24 in Welkom invites a Data Scientist specialized in Machine Learning to join our analytics team. You will develop and deploy ML models to drive business insights and product innovation.

You will work with large datasets, transform data for modeling, evaluate performance, and communicate results to technical and non-technical stakeholders.

The role offers opportunities for professional growth, collaboration, and staying at the forefront of ML advancements.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, CS or related field.
• Proven experience building and deploying ML models.
• Proficiency in Python or R and ML libraries.
• Experience with SQL and Pandas.
• Familiarity with big data and cloud platforms is a plus.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Develop, train, and deploy ML models for business applications.
• Prepare large, complex datasets for analysis and modeling.
• Evaluate model performance, iterate on designs, and improve accuracy and efficiency.
• Collaborate with stakeholders to translate needs into data science projects.
• Communicate findings and recommendations via visualizations and reports to technical and non-technical audiences.
• Stay abreast of the latest advancements in ML and AI.

Skills

Machine learning

Python

R

Data analysis

Communication

Education

Master's or PhD in Data Science/Statistics/CS

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Pandas

Job description

Placements24 in Welkom invites a Data Scientist specialized in Machine Learning to join our analytics team. You will develop and deploy ML models to drive business insights and product innovation.

You will work with large datasets, transform data for modeling, evaluate performance, and communicate results to technical and non-technical stakeholders.

The role offers opportunities for professional growth, collaboration, and staying at the forefront of ML advancements.