Remote Research Data Scientist

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

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Research Data Scientist to join their dynamic team. This position is fully remote, allowing you to contribute to groundbreaking scientific research from anywhere. You will be responsible for analyzing large, complex datasets, developing predictive models, and extracting actionable insights to drive research objectives. This role requires a strong foundation in statistical analysis, machine learning, and programming, coupled with a passion for scientific discovery and innovation in the field of data science .

Key Responsibilities

• Design and implement statistical models and machine learning 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 both technical and non-technical audiences.
• Collaborate remotely with research teams across different disciplines to understand their data needs and provide analytical support.
• Identify trends, patterns, and correlations within data to generate hypotheses and guide future research directions.
• Evaluate and implement new data analysis tools and techniques to enhance research capabilities.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Scientist or similar role, with a strong portfolio of data analysis projects.
• Proficiency in programming languages such as Python or R, and expertise in relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Solid understanding of statistical modeling, machine learning algorithms, and experimental design.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and databases (SQL/NoSQL).
• Excellent remote communication and collaboration skills, with the ability to work effectively in a distributed team environment.

Benefits

• Competitive salary and remote work flexibility.
• Opportunity to work on impactful scientific research projects from anywhere.
• Comprehensive health, dental, and vision benefits package.
• Generous allowance for home office setup and professional development.
• A collaborative and supportive virtual work culture focused on innovation.