Graduate Data Scientist

Placements24; Centurion; Hybrid; ZAR 300,000 - 540,000; Full time

Benefits offered by this job

Salary bonus

Home office stipend

Professional development

Advanced tools

Flexible hours

Team culture

Job summary

Placements24 is seeking a highly analytical Graduate Data Scientist to join its remote-first team. You will apply statistical modeling, machine learning, and data visualization to uncover insights from complex datasets and inform business decisions.

The role offers a supportive, fully remote environment with opportunities to work on challenging projects, collaborate with cross-functional teams, and develop expertise in data-driven strategies and emerging techniques.

Qualifications

• Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Strong programming skills in Python or R with libraries such as pandas, scikit-learn, and TensorFlow.
• Solid understanding of statistical concepts, machine learning, and data modeling techniques.
• Experience with SQL and data querying.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Develop and implement statistical models and machine learning algorithms to extract meaningful insights.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Visualize data and model results using various tools and techniques for clear communication.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Stay updated with the latest advancements in data science and machine learning techniques.

Skills

Python

R

Statistical modeling

Machine learning

Data visualization

Problem solving

Communication

SQL

Education

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

Tools

pandas

scikit-learn

TensorFlow

Job description

About the Role

Our client is looking for highly analytical and motivated Graduate Data Scientists to join their fully remote team. This role is perfect for recent graduates passionate about uncovering insights from complex datasets and leveraging data to drive business decisions. You will work on challenging projects, applying statistical modeling, machine learning techniques, and data visualization to solve real-world problems. This is a fantastic opportunity to develop your skills in a supportive, remote-first environment, contributing to innovative data-driven strategies and growing your expertise within a collaborative and forward-thinking organization.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various sources.


• Develop and implement statistical models and machine learning algorithms to extract meaningful insights.


• Perform exploratory data analysis to identify trends, patterns, and anomalies.


• Visualize data and model results using various tools and techniques for clear communication.


• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.


• Stay updated with the latest advancements in data science and machine learning techniques.

Requirements

• Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.


• Strong programming skills in languages such as Python or R, including relevant libraries (e.g., pandas, scikit-learn, TensorFlow).


• Solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques.


• Experience with database querying languages like SQL.


• Excellent problem-solving and analytical skills.


• Effective communication skills, with the ability to explain complex findings to both technical and non-technical audiences in a remote setting.

Benefits

• Highly competitive salary and performance-based bonuses.


• Comprehensive remote work setup support and home office stipend.


• Opportunities for professional development, conferences, and certifications.


• Access to cutting-edge tools and technologies in data science.


• Flexible working hours and a strong work-life balance.


• Collaborative and inclusive virtual team culture.