Senior ML Data Scientist — Remote, High-Impact AI

Placements24; George; Híbrido; ZAR 1 200 000 - 2 400 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

Stock options

Health insurance

Professional development

Paid time off

Resumo da oferta

Placements24 is seeking a Senior Data Scientist with a focus on Machine Learning to design, develop, and deploy advanced ML models. This fully remote role supports a globally distributed team and emphasizes the ML lifecycle from data prep to production.

You will tackle predictive modeling, anomaly detection, NLP, and computer vision, collaborating with engineers and PMs while mentoring junior data scientists. Strong cloud and analytical skills are essential.

Qualificações

• Master's or PhD in a quantitative field such as CS, Stats, Math, or Data Science.
• 5+ years of professional data science experience with a strong ML focus.
• Proficiency in Python or R with ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with cloud ML services on AWS/Azure/GCP.
• Strong SQL and data modeling skills.

Responsabilidades

• Develop and deploy sophisticated machine learning models and statistical methods.
• Design AB tests and experiments to validate model impact.
• Prepare and transform large-scale datasets for modeling.
• Collaborate with engineers and product managers to productionize models.
• Communicate complex findings to technical and non-technical stakeholders.
• Stay updated with ML research and best practices in MLOps.
• Contribute to data science standards and reusable components.
• Build data pipelines and automated reporting tools.
• Identify opportunities where data science can add business value.
• Mentor junior data scientists and share knowledge.

Conhecimentos

Python

R

ML

Cloud platforms

SQL

Formação académica

Master's degree

PhD

Ferramentas

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Descrição da oferta de emprego

Placements24 is seeking a Senior Data Scientist with a focus on Machine Learning to design, develop, and deploy advanced ML models. This fully remote role supports a globally distributed team and emphasizes the ML lifecycle from data prep to production.

You will tackle predictive modeling, anomaly detection, NLP, and computer vision, collaborating with engineers and PMs while mentoring junior data scientists. Strong cloud and analytical skills are essential.