Hybrid Principal Data Scientist — ML & AI Innovator

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1.200.000 - 2.100.000; Vollzeit

Benefits dieser Stelle

Medical aid

Life cover

Retirement annuity

Professional development budget

Zusammenfassung

Placements24 is partnering with a data-driven leader to hire a Principal Data Scientist in Richards Bay, KwaZulu-Natal. The role focuses on steering advanced analytics, ML initiatives, and strategic impact across the business.

You will drive end-to-end projects from conception to deployment, mentor junior scientists, and collaborate with data engineers to integrate models into production systems in a hybrid work setting.

Qualifikationen

• Ph.D. or Master's in a quantitative field (CS/Statistics/Math).
• 10+ years in data science or ML delivering impactful solutions.
• Expertise in statistical modeling, ML algorithms, and experimental design.

Aufgaben

• Lead end-to-end development and deployment of ML models and analyses.
• Identify opportunities to leverage data science for strategic insights.
• Perform data exploration, feature engineering, and model selection.
• Design and run A/B tests to validate performance and business impact.
• Communicate findings clearly to technical and non-technical stakeholders.
• Mentor junior scientists and promote rigorous scientific methods.
• Collaborate with data engineers and software teams to productionize models.
• Stay updated with advances in data science and AI.

Kenntnisse

Strategic thinking

Mentorship

Problem solving

Communication

Ausbildung

Ph.D./Master's in CS/Stats/Math

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark/Hadoop

AWS/Azure/GCP

Jobbeschreibung

Placements24 is partnering with a data-driven leader to hire a Principal Data Scientist in Richards Bay, KwaZulu-Natal. The role focuses on steering advanced analytics, ML initiatives, and strategic impact across the business.

You will drive end-to-end projects from conception to deployment, mentor junior scientists, and collaborate with data engineers to integrate models into production systems in a hybrid work setting.