Remote Research Data Scientist: ML for Discovery

Placements24; Durban; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Health benefits

Home office allowance

Professional development

Collaborative culture

Job summary

Placements24 is seeking a highly analytical Remote Research Data Scientist to join a dynamic team. You will analyze large datasets, develop predictive models, and extract actionable insights to drive research objectives from anywhere.

The role requires expertise in statistics, machine learning, and programming, with a passion for scientific discovery. You will collaborate with researchers across disciplines, design robust models, create impactful visualizations, and communicate findings to

Qualifications

• Master's or PhD in Data Science, Statistics, CS or related field.
• Proven data science experience with a strong portfolio.
• Proficiency in Python or R and ML libraries.
• Strong foundation in statistics and experimental design.

Responsibilities

• Design and implement statistical models and ML algorithms to analyze research data.
• Clean, transform, and manage large datasets from various sources to ensure data integrity and usability.
• Develop visualizations and reports to effectively communicate complex findings to technical and non-technical audiences.
• Collaborate remotely with research teams across disciplines to understand data needs and provide analytical support.
• Identify trends, patterns, and correlations to generate hypotheses and guide future research directions.
• Evaluate and adopt new data analysis tools and techniques to enhance research capabilities.

Skills

Python

R

Machine learning

Pandas

NumPy

Scikit-learn

Data visualization

SQL/NoSQL

Remote collaboration

Education

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

Tools

Tableau

SQL

NoSQL

Job description

Placements24 is seeking a highly analytical Remote Research Data Scientist to join a dynamic team. You will analyze large datasets, develop predictive models, and extract actionable insights to drive research objectives from anywhere.

The role requires expertise in statistics, machine learning, and programming, with a passion for scientific discovery. You will collaborate with researchers across disciplines, design robust models, create impactful visualizations, and communicate findings to