Data Scientist

Placements24

Pretoria

Hybrid

ZAR 700,000 - 1,100,000

Full time

3 days ago
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Benefits offered by this job

Industry-leading salary
Health insurance
Flexible work arrangements
Conference opportunities

Job summary

Placements24 in Pretoria is seeking a highly analytical Data Scientist to join our expanding analytics team. You will uncover actionable insights from complex datasets, build predictive models, and drive data-informed decision-making across the organization.

You will collaborate with stakeholders, use Python or R, and work with Spark/Hadoop. This role offers flexible arrangements and opportunities to attend leading data science conferences, shaping strategies and business outcomes.

Qualifications

  • Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 3+ years of professional experience as a Data Scientist or in a similar analytical role.
  • Strong proficiency in Python or R for data analysis and machine learning.
  • Experience with Scikit-learn, TensorFlow, or PyTorch.

Responsibilities

  • Collect, clean, and preprocess large datasets from various sources.
  • Develop, train, and evaluate machine learning models for prediction, classification, and clustering.
  • Design and conduct A/B tests to measure impact of product changes and marketing initiatives.
  • Visualize data and model results using Matplotlib, Seaborn, or Tableau to communicate findings effectively.
  • Collaborate with engineering and product teams to deploy models into production.
  • Stay up-to-date with the latest research in data science and ML.

Skills

Statistical modeling
Experimental design
Data mining techniques

Education

Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field

Tools

Python
R
Scikit-learn
TensorFlow
PyTorch
Spark
Hadoop
SQL

Job description

About the Role

Our client is seeking a highly analytical and innovative Data Scientist to join their expanding analytics team in Pretoria . This role is central to uncovering actionable insights from complex datasets, driving data-informed decision-making across the organization, and developing predictive models that solve critical business challenges. You will work with cutting-edge tools and technologies, collaborate with stakeholders from various departments, and contribute to a culture that values data exploration and scientific rigor. This is an exceptional opportunity for a data enthusiast to shape strategies and contribute to significant business outcomes.

Key Responsibilities
  • Collect, clean, and preprocess large, complex datasets from various sources.
  • Develop, train, and evaluate machine learning models for prediction, classification, and clustering.
  • Design and conduct A/B tests and other experiments to measure the impact of product changes and marketing initiatives.
  • Visualize data and model results using tools like Matplotlib, Seaborn, or Tableau to communicate findings effectively.
  • Collaborate with engineering and product teams to deploy models into production environments.
  • Stay up-to-date with the latest research and advancements in data science and machine learning.
Requirements
  • Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 3+ years of professional experience as a Data Scientist or in a similar analytical role.
  • Strong proficiency in Python or R for data analysis and machine learning.
  • Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch .
  • Solid understanding of statistical modeling, experimental design, and data mining techniques.
  • Familiarity with big data technologies (Spark, Hadoop) and SQL databases is a plus.
Benefits
  • An industry-leading salary commensurate with experience.
  • Comprehensive health, dental, and vision insurance.
  • Flexible work arrangements to support remote productivity.
  • Opportunities for attending leading data science conferences and workshops.
  • A stimulating work environment with a focus on innovation and learning.
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