Remote Senior Data Scientist - ML & Insight Leader

Placements24

Vereeniging

Hybrid

ZAR 900,000 - 1,600,000

Full time

4 days ago
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Benefits offered by this job

Fully remote work
Private medical insurance
Professional development budget
Globally distributed team

Job summary

Placements24 is seeking a Senior Data Scientist to join a fully remote team. You will design and deploy machine learning models, analyze large datasets, and communicate findings to stakeholders.

The role emphasizes mentorship, collaboration with engineering and product teams, and staying ahead of data science advances. The ideal candidate has 5+ years of hands-on data science experience, strong Python/R skills with ML libraries, and expertise in SQL and big data tools.

Qualifications

  • Master's or PhD in Data Science, Statistics, Computer Science or related quantitative field.
  • 5+ years hands-on data science and ML experience.
  • Proficiency in Python or R and ML libraries (TF, PyTorch, scikit-learn).
  • Strong SQL and big data experience (Spark/Hadoop) required.
  • Excellent communication and presentation skills.

Responsibilities

  • Design, develop and deploy ML models to solve business problems.
  • Analyze large structured and unstructured data to identify trends.
  • Create visualizations and reports for technical and non-technical audiences.
  • Collaborate with engineering and product teams to productionize solutions.
  • Stay updated on advances in data science and mentor junior data scientists.

Skills

Python
R
TensorFlow
PyTorch
scikit-learn
SQL
Big data (Spark/Hadoop)

Education

Master's or PhD in Data Science/Statistics/CS

Tools

Spark
Hadoop

Job description

Placements24 is seeking a Senior Data Scientist to join a fully remote team. You will design and deploy machine learning models, analyze large datasets, and communicate findings to stakeholders.

The role emphasizes mentorship, collaboration with engineering and product teams, and staying ahead of data science advances. The ideal candidate has 5+ years of hands-on data science experience, strong Python/R skills with ML libraries, and expertise in SQL and big data tools.

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