Senior Data Scientist - R&D Analytics

Placements24

Vereeniging

Hybrid

ZAR 900,000 - 1,600,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Health, disability, and life insurance
Hybrid work model
Professional development

Job summary

Placements24 is seeking a Senior Data Scientist for our client in Vereeniging to join an innovative R&D analytics team. You will design models, run experiments, and translate insights for both technical and non-technical stakeholders.

You will work with Python/R, SQL, and big data technologies to develop predictive models and dashboards, collaborating with researchers and engineers to define KPIs and analytics needs. Stay ahead of advances in data science.

Qualifications

  • Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
  • 5+ years of professional Data Scientist experience in R&D or scientific applications.
  • Proficiency in Python or R and data manipulation libraries.
  • Strong knowledge of machine learning, statistical modeling, and experimental design.
  • Experience with SQL and big data technologies.
  • Excellent communication and presentation skills.

Responsibilities

  • Design and implement statistical models and ML algorithms for R&D data analysis.
  • Extract, clean, and transform large datasets from diverse research sources.
  • Develop predictive models to identify trends, opportunities, and risks.
  • Collaborate with researchers and engineers to define KPIs and analytics needs.
  • Create data visualizations and dashboards to communicate findings.
  • Stay current with advances in data science and related domains.

Skills

Python
R
SQL
Data manipulation
Communication

Education

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

Job description

About the Role

Our client is seeking an experienced Senior Data Scientist to join their innovative Research & Development analytics team in Vereeniging . This role is central to extracting actionable insights from complex datasets generated during research processes, enabling data-driven decision-making. You will develop advanced analytical models, design experiments, and communicate findings to both technical and non-technical stakeholders. This is an exciting opportunity to leverage your expertise in data science to drive innovation and strategic direction within a leading research organization.

Key Responsibilities
  • Design and implement advanced statistical models and machine learning algorithms for R&D data analysis.
  • Extract, clean, and transform large, complex datasets from various research sources.
  • Develop predictive models and analytical solutions to identify trends, opportunities, and risks in research projects.
  • Collaborate with researchers and engineers to define key performance indicators and analytical requirements.
  • Create compelling data visualizations and dashboards to communicate complex findings effectively.
  • Stay current with the latest advancements in data science, machine learning, and relevant research domains.
Requirements
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
  • Minimum of 5 years of professional experience as a Data Scientist , with a focus on R&D or scientific applications.
  • Proficiency in programming languages such as Python or R, and experience with data manipulation libraries.
  • Strong knowledge of machine learning techniques, statistical modeling, and experimental design.
  • Experience with SQL and big data technologies.
  • Excellent communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
Benefits
  • Competitive salary and performance-based incentives.
  • Comprehensive health, disability, and life insurance coverage.
  • Opportunities for continuous learning and professional development in data science.
  • Flexible work arrangements, including a hybrid model, supporting work-life balance in Vereeniging .
  • A collaborative and innovative work environment focused on advancing scientific research through data.
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