Predictive AI Data Scientist | Hybrid in Port Elizabeth

Placements24

Gqeberha

Hybride

ZAR 700 000 - 1 000 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Annual bonus
Medical & dental
Retirement contributions
Training programs
Hybrid work

Résumé du poste

Placements24 is seeking an AI Data Scientist in Port Elizabeth, Eastern Cape, to lead predictive analytics initiatives. You will build and deploy predictive models on large datasets, perform rigorous EDA, and translate business needs into data-driven solutions.

Collaboration with stakeholders and rigorous experimentation will be essential to drive decisions. The role requires advanced degrees, strong ML skills, Python or R, and experience with ML libraries.

Qualifications

  • Master's or Ph.D. in a quantitative field.
  • Proven experience in predictive modeling and ML.

Responsabilités

  • Develop and implement predictive models using ML algorithms.
  • Preprocess and transform large datasets for analysis.
  • Perform EDA to identify patterns and anomalies.
  • Evaluate models with appropriate metrics and iterate to improve accuracy.
  • Collaborate with stakeholders to translate needs into data science problems.
  • Communicate findings clearly to technical and non-technical audiences.
  • Design and run A/B tests to validate hypotheses.
  • Stay updated with data science advancements.
  • Contribute to data-driven strategies and product improvements.

Connaissances

Predictive modeling
Machine learning
EDA
Statistical analysis
Data visualization

Formation

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

Outils

Python
R
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch

Description du poste

Placements24 is seeking an AI Data Scientist in Port Elizabeth, Eastern Cape, to lead predictive analytics initiatives. You will build and deploy predictive models on large datasets, perform rigorous EDA, and translate business needs into data-driven solutions.

Collaboration with stakeholders and rigorous experimentation will be essential to drive decisions. The role requires advanced degrees, strong ML skills, Python or R, and experience with ML libraries.

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