Senior Remote Data Scientist - AI/ML, Unlimited PTO

Placements24

Durban

Hybrid

ZAR 900,000 - 1,500,000

Full time

9 days ago

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Benefits offered by this job

Competitive salary
Remote setup
Health insurance
Unlimited PTO
Learning courses

Job summary

Placements24 is seeking a highly skilled Remote Senior Data Scientist to join our R&D team, focusing on AI/ML to design and deploy models that drive data-driven decision making. This remote role allows work from anywhere in South Africa.

You will develop models across NLP, deep learning and computer vision, analyze large datasets, run experiments, and collaborate with engineers and product managers to put models into production, while staying up to date with the latest research.

Qualifications

  • Master's or Ph.D. in a quantitative field and 5+ years in data science.
  • Proficiency in Python or R and ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Experience with large datasets, cloud platforms (AWS, Azure, GCP), and remote collaboration.

Responsibilities

  • Develop and deploy advanced ML models including NLP, deep learning, and CV.
  • Analyze large, complex datasets to extract actionable insights.
  • Design experiments to test hypotheses and validate model performance.
  • Collaborate with engineers and product managers to productionize models.
  • Present findings with clear visualizations to technical and non-technical stakeholders.
  • Stay current with the latest research in AI/ML and data science.

Skills

Python
R
TensorFlow
PyTorch
Scikit-learn
Statistical modeling
Experimental design
Data mining
AWS
Azure
GCP
Communication
Remote work

Education

Master's degree
PhD

Tools

TensorFlow
PyTorch
Scikit-learn

Job description

Placements24 is seeking a highly skilled Remote Senior Data Scientist to join our R&D team, focusing on AI/ML to design and deploy models that drive data-driven decision making. This remote role allows work from anywhere in South Africa.

You will develop models across NLP, deep learning and computer vision, analyze large datasets, run experiments, and collaborate with engineers and product managers to put models into production, while staying up to date with the latest research.

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