Senior Data Scientist – AI/ML for Production Insights

Placements24

Stellenbosch

Vor Ort

ZAR 1.000.000 - 1.500.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Private medical aid
Provident fund
Life insurance
Generous PTO
Wellness programs

Zusammenfassung

Placements24 in Paarl, Western Cape invites a Senior Data Scientist to lead AI/ML initiatives. You will design, deploy and scale advanced models, collaborate with engineers and product teams, and drive data-driven decision making across the business.

The role demands a PhD/masters in a quantitative field and 5+ years of production ML experience, with Python/R, SQL, Spark, and visualization tools. This onsite position offers a path for impact and professional growth in a dynamic environment.

Qualifikationen

  • Advanced degree in statistics, CS, math, or related field.
  • 5+ years of data science experience with AI/ML focus.
  • Experience deploying ML models in production environments.

Aufgaben

  • Design, develop, and deploy advanced ML models and algorithms.
  • Analyze large datasets to extract actionable insights and identify trends.
  • Develop predictive models and forecasting systems.
  • Collaborate with engineering and product teams to productionize models.
  • Evaluate model performance, run A/B tests, and iterate solutions.
  • Communicate findings to technical and non-technical stakeholders.
  • Stay updated with data science research and best practices.
  • Mentor junior data scientists and share knowledge.
  • Develop data visualization tools and reports to present findings.

Kenntnisse

AI/ML expertise
Statistical modeling
Data analysis
Communication skills

Ausbildung

Master's or PhD in quantitative field

Tools

Python
R
SQL
Spark
Tableau/Matplotlib

Jobbeschreibung

Placements24 in Paarl, Western Cape invites a Senior Data Scientist to lead AI/ML initiatives. You will design, deploy and scale advanced models, collaborate with engineers and product teams, and drive data-driven decision making across the business.

The role demands a PhD/masters in a quantitative field and 5+ years of production ML experience, with Python/R, SQL, Spark, and visualization tools. This onsite position offers a path for impact and professional growth in a dynamic environment.

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