Graduate Data Scientist - WhatJobs Direct

Placements24; Cape Town; Sur place; ZAR 167 000 - 234 000; Plein temps

Avantages offerts par ce poste

Internship stipend

Mentorship from senior data scientists

Hands-on data science projects

Cape Town office location

Résumé du poste

WhatJobs Direct in Cape Town is seeking an ambitious Graduate Data Scientist to join its analytics division. You will work with experienced data scientists to develop and deploy models, perform data preprocessing, and communicate insights to stakeholders.

The role offers hands-on experience across data pipelines, ML techniques, and collaboration with engineering teams, in a vibrant Cape Town office.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics or related field.
• Solid understanding of statistical modeling and machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Proficiency in Python or R and experience with data libraries (Pandas, NumPy, Scikit-learn).
• Familiarity with SQL and database management.
• Strong analytical, communication and teamwork skills.

Responsabilités

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify trends and insights.
• Develop, train, and evaluate statistical and ML models.
• Assist in deploying models into production environments.
• Visualize data and communicate findings to technical and non-technical audiences.
• Collaborate with engineering teams to integrate data science solutions.

Connaissances

Analytical thinking

Teamwork

Communication

Problem-solving

Learning agility

Formation

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

Outils

Python

R

Pandas

NumPy

Scikit-learn

SQL

Description du poste

About the Role

Our client, WhatJobs Direct, is on the lookout for an ambitious Graduate Data Scientist to join their innovative analytics division in the picturesque city of Cape Town . This is a unique chance for a recent graduate with a strong quantitative background and a passion for uncovering insights from data to make a significant impact. You will work closely with experienced data scientists and engineers, contributing to projects that drive business decisions and product development. This role is ideal for individuals who thrive in a collaborative, problem-solving environment and are eager to apply advanced statistical and machine learning techniques. The position is based in our client's state-of-the-art offices in Cape Town , offering a fantastic opportunity to immerse yourself in a vibrant tech community.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop, train, and evaluate statistical and machine learning models.
• Assist in deploying models into production environments.
• Visualize data and model results to communicate findings effectively to technical and non-technical audiences.
• Collaborate with engineering teams to integrate data science solutions into existing systems.
• Stay updated with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data pipelines and analytical frameworks.
• Document methodologies, findings, and model performance.
• Participate in code reviews and knowledge-sharing sessions.

Requirements

• Master's or Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Solid understanding of statistical modeling and machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with SQL and database management.
• Strong analytical and critical thinking skills.
• Excellent communication and presentation skills.
• Ability to work collaboratively in a team environment.
• A proactive approach to problem-solving and continuous learning.
• Demonstrable passion for data and its applications.

Benefits

• Internship stipend with potential for full-time offer.
• Hands-on experience with real-world data science challenges.
• Mentorship from leading data scientists in Cape Town .
• Exposure to diverse industries and business problems.
• Opportunity to work with cutting-edge technologies.
• Vibrant office culture in a prime Cape Town location.
• Networking opportunities within the data science community.
• Support for professional development and further education.
• Chance to contribute to innovative projects from day one.