Senior Data Scientist - Hybrid with Relocation Aid

Placements24

Upington

Hybrid

ZAR 900,000 - 1,500,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Hybrid work model
Medical coverage
Pension fund
Professional development
Office amenities
Relocation assistance

Job summary

Placements24 in Upington seeks a Senior Data Scientist to extract insights from complex datasets, build predictive models, and drive data‑driven decisions across the organization. You will work with ML, statistics and visualization, mentoring junior data scientists.

The role offers a hybrid work model and access to advanced analytics tools, with collaboration across engineering and product teams to deploy data science solutions at scale.

Qualifications

  • Ph.D. or Master's in Statistics, CS, Math, Physics or related field.
  • 5+ years in data science, ML or statistical modeling.
  • Proficiency in Python or R, with relevant ML libraries.

Responsibilities

  • Design and implement advanced statistical models and ML algorithms.
  • Analyze large datasets to identify trends and insights.
  • Develop predictive models to forecast outcomes and optimize strategies.
  • Communicate findings to technical and non-technical stakeholders.
  • Collaborate with engineering and product teams to deploy solutions.
  • Develop and maintain data pipelines for model training.
  • Conduct A/B tests and experimental designs to validate hypotheses.
  • Mentor junior data scientists and analysts.
  • Create compelling data visualizations to illustrate findings.

Skills

Python
R
SQL
ML
Data visualization
Communication
Mentoring
Team collaboration

Education

PhD or Master's in quantitative field

Tools

scikit-learn
TensorFlow
PyTorch
Spark
Tableau/Power BI

Job description

Placements24 in Upington seeks a Senior Data Scientist to extract insights from complex datasets, build predictive models, and drive data‑driven decisions across the organization. You will work with ML, statistics and visualization, mentoring junior data scientists.

The role offers a hybrid work model and access to advanced analytics tools, with collaboration across engineering and product teams to deploy data science solutions at scale.

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