Data Scientist - R&D Analytics

Placements24; Pretoria; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Remote work flexibility

Medical insurance

Professional development

Access to advanced analytics tools

Job summary

Placements24 is seeking a highly analytical Data Scientist to join the Research & Development division. The role is remote, based in Pretoria, SA, and focuses on extracting actionable insights from complex datasets to guide strategic decisions.

You will develop predictive models, perform statistical analyses, and create visualizations to communicate findings to stakeholders across the organization.

Qualifications

• Master’s or PhD in Data Science, Statistics, Computer Science, or a quantitative field.
• 5+ years applying data science and ML techniques to real-world problems.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, or PyTorch.
• SQL and large, complex datasets experience.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib).
• Excellent problem-solving and remote communication skills.

Responsibilities

• Develop, validate, and deploy ML models for predictive analytics and pattern recognition in R&D data.
• Conduct exploratory data analysis to identify trends and insights for research objectives.
• Design and implement A/B tests and other designs to evaluate hypotheses.
• Create data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Collaborate with R&D teams to translate business problems into analytical solutions.
• Stay abreast of advances in data science, ML, and statistical modeling.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Tableau

Power BI

Matplotlib

Communication

Education

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

Tools

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client is seeking a highly analytical and experienced Data Scientist to join their Research & Development division, based remotely in Pretoria . This role is central to driving innovation by extracting actionable insights from complex datasets. You will be responsible for developing predictive models, performing statistical analyses, and creating visualizations that guide strategic R&D decisions. This is a fully remote position, offering a unique opportunity for a data-driven individual to contribute to cutting-edge research without geographical constraints, fostering a culture of data literacy and evidence-based decision-making across the organization.

Key Responsibilities

• Develop, validate, and deploy machine learning models for predictive analytics and pattern recognition in R&D data.
• Conduct exploratory data analysis to identify trends, correlations, and insights relevant to research objectives.
• Design and implement A/B tests and other experimental designs to evaluate hypotheses.
• Create compelling data visualizations and dashboards to communicate complex findings to technical and non-technical stakeholders.
• Collaborate with R&D teams to understand their data needs and translate business problems into analytical solutions.
• Stay abreast of the latest advancements in data science, machine learning, and statistical modeling techniques.

Requirements

• Master's or PhD degree in Data Science, Statistics, Computer Science, or a quantitative field.
• Proven track record (5+ years) of applying data science and machine learning techniques to solve real-world problems.
• Strong proficiency in programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, or PyTorch.
• Expertise in SQL and experience working with large, complex datasets.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent problem-solving abilities and communication skills, especially in a remote setting .

Benefits

• Highly competitive salary package.
• Remote work flexibility, allowing you to work from Pretoria or elsewhere.
• Comprehensive medical, dental, and vision insurance.
• Generous opportunities for professional development and continuous learning.
• Access to advanced analytical tools and computing resources.
• Collaborative and innovative work culture focused on R&D impact.