Remote AI Data Scientist — Predictive Analytics Leader

Placements24

Gauteng

Hybrid

ZAR 700,000 - 1,100,000

Full time

6 days ago
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Benefits offered by this job

Remote work flexibility
Conference and training budget
Performance-based bonuses
Healthcare coverage

Job summary

Placements24 seeks an analytical AI Data Scientist to join a fully remote team. You will leverage statistics and ML to extract insights from complex datasets, build predictive models, and drive data-informed decisions across the organization.

You will collaborate with engineers and product managers, translate data findings into value, and work with cutting-edge AI technologies and large-scale data in a flexible, remote environment.

Qualifications

  • Master's or PhD in Statistics, Computer Science, Mathematics, or related quantitative field.
  • 3+ years of data science or machine learning experience.
  • Proficiency in Python or R and data science libraries like Pandas, NumPy, Scikit-learn.
  • Strong understanding of statistical modeling and data mining techniques.
  • Experience with SQL and large datasets; ability to work remotely.

Responsibilities

  • Analyze large, complex datasets to identify trends and insights.
  • Develop, train, and evaluate ML models for predictive analytics.
  • Design experiments to test hypotheses and measure impact of AI solutions.
  • Collaborate with AI engineers to deploy models to production.
  • Communicate findings to technical and non-technical stakeholders.
  • Stay updated with advances in data science and AI.

Skills

Analytical mindset
Problem solving
Independent worker

Education

Master's or PhD in Statistics, Computer Science, Mathematics, or related quantitative field

Tools

Python
R
Pandas
NumPy
Scikit-learn
SQL

Job description

Placements24 seeks an analytical AI Data Scientist to join a fully remote team. You will leverage statistics and ML to extract insights from complex datasets, build predictive models, and drive data-informed decisions across the organization.

You will collaborate with engineers and product managers, translate data findings into value, and work with cutting-edge AI technologies and large-scale data in a flexible, remote environment.

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