Senior Data Scientist - Remote | ML, Insights & Impact

Placements24

Mossel Bay

Hybrid

ZAR 900,000 - 1,200,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Health benefits
Professional development
Remote work

Job summary

Placements24 is seeking a highly analytical Senior Data Scientist to join a fully remote, global team. You will build and deploy machine learning models, extract insights from large datasets, and design experiments to quantify impact across business units.

You will collaborate with engineering and product teams to embed data science into production systems, communicate complex results to stakeholders, and stay ahead of advances in ML and AI in a flexible, collaborative setting.

Qualifications

  • Master's or PhD in Statistics, Computer Science, Mathematics or related quantitative field.
  • 5+ years of professional experience in data science or ML roles.
  • Strong proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
  • Experience with SQL and NoSQL, big data tech (Spark, Hadoop).

Responsibilities

  • Develop, validate, and deploy ML models to address business problems.
  • Analyze large datasets to identify trends and generate insights.
  • Design and run A/B tests and experiments to measure impact.
  • Collaborate with engineering/product teams to productionize data solutions.
  • Communicate findings clearly to technical and non-technical stakeholders.
  • Keep abreast of latest data science and AI advances.

Skills

Python
R
SQL
Machine Learning
Data Visualization

Education

Master's or PhD in Statistics, CS, Math

Tools

scikit-learn
TensorFlow
PyTorch
Spark
Hadoop

Job description

Placements24 is seeking a highly analytical Senior Data Scientist to join a fully remote, global team. You will build and deploy machine learning models, extract insights from large datasets, and design experiments to quantify impact across business units.

You will collaborate with engineering and product teams to embed data science into production systems, communicate complex results to stakeholders, and stay ahead of advances in ML and AI in a flexible, collaborative setting.

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