Senior ML Scientist: Predictive Analytics & Forecasting

Placements24

Klerksdorp

On-site

ZAR 1,200,000 - 1,800,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Bonuses
Health insurance
Retirement savings
Life insurance
Professional development
Office in Klerksdorp

Job summary

Placements24 is seeking a Senior Machine Learning Scientist in Klerksdorp, North West to build and deploy predictive analytics solutions that drive business decisions.

You will work with large datasets, develop advanced models using Python or R, collaborate with data engineers, and communicate insights to stakeholders. This on-site role offers opportunities to mentor junior data scientists and contribute to a fast-growing analytics firm.

Qualifications

  • Master's or PhD in a quantitative field (Statistics, CS, Math).
  • 5+ years of ML and predictive modelling experience.
  • Proven track record deploying models in business contexts.
  • Strong Python or R and data libraries experience.
  • Solid grasp of statistics and hypothesis testing.
  • Excellent communication and problem-solving abilities.

Responsibilities

  • Develop, validate, and deploy ML models for predictive analytics and forecasting.
  • Clean and analyze large, complex datasets from multiple sources.
  • Identify key features and build robust predictive models.
  • Evaluate model performance and iterate for accuracy.
  • Collaborate with data engineers to productionize ML pipelines.
  • Communicate findings to technical and non-technical stakeholders.
  • Stay updated on ML advances and mentor junior data scientists.

Skills

Python
R
SQL
Statistical modelling
Data preprocessing
Communication

Education

Master's degree in Statistics
PhD in quantitative field

Tools

scikit-learn
TensorFlow
PyTorch
Pandas
NumPy

Job description

Placements24 is seeking a Senior Machine Learning Scientist in Klerksdorp, North West to build and deploy predictive analytics solutions that drive business decisions.

You will work with large datasets, develop advanced models using Python or R, collaborate with data engineers, and communicate insights to stakeholders. This on-site role offers opportunities to mentor junior data scientists and contribute to a fast-growing analytics firm.

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