Junior Data Scientist - Machine Learning Focus

Placements24; Rustenburg; Hybride; ZAR 300 000 - 480 000; Plein temps

Avantages offerts par ce poste

Full remote work flexibility

Continuous learning in AI/ML

Collaborative global team

Résumé du poste

Placements24 is seeking a junior data scientist to join a fully remote analytics team. The role focuses on applying machine learning to business problems, building predictive models, and translating insights into actionable recommendations for a diverse, distributed team.

The candidate should have a strong foundation in statistics, programming, and an interest in AI/ML. This entry-level role offers growth in a remote, collaborative environment with exposure to cutting-edge data science

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics or a related quantitative field.
• Solid understanding of machine learning algorithms and statistical modeling.
• Proficiency in Python or R and relevant libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation and analysis tools (Pandas, SQL).
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

Responsabilités

• Develop, train, and evaluate machine learning models (regression, classification, clustering).
• Perform data preprocessing, feature engineering, and EDA on large datasets.
• Implement and deploy ML models into production environments.
• Design and conduct A/B tests and other experiments to assess model performance.
• Visualize data and model results for technical and non-technical stakeholders.

Connaissances

ML algorithms

Python

SQL

Pandas

Cloud platforms

Formation

Master's or PhD in Data Science

Outils

TensorFlow

PyTorch

scikit-learn

Description du poste

About the Role

Our client, a forward-thinking analytics firm, is seeking an ambitious Junior Data Scientist with a focus on machine learning to join their remote team. This is a unique opportunity for a recent graduate or early-career professional to apply advanced analytical techniques and machine learning algorithms to solve complex business problems. You will work with large datasets, develop predictive models, and translate data-driven insights into actionable recommendations. The role is fully remote, offering flexibility and the chance to collaborate with a diverse, distributed team. Our client is dedicated to fostering innovation and providing a platform for professional development in the field of data science. You will be involved in challenging projects that push the boundaries of what's possible with data. This position is perfect for individuals passionate about uncovering patterns, building intelligent systems, and contributing to data-driven decision-making across various industries. The successful candidate will have a strong foundation in statistics, programming, and a keen interest in the evolving landscape of AI and machine learning.

Key Responsibilities

• Develop, train, and evaluate machine learning models (e.g., regression, classification, clustering).
• Perform data preprocessing, feature engineering, and exploratory data analysis on large datasets.
• Implement and deploy machine learning models into production environments.
• Design and conduct A/B tests and other experiments to assess model performance.
• Visualize data and model results to communicate findings to technical and non-technical stakeholders.
• Collaborate with data engineers and software developers to integrate ML solutions.
• Stay up-to-date with the latest research and techniques in machine learning and AI.
• Contribute to the development of data pipelines and analytical infrastructure.
• Document methodologies, code, and results thoroughly.
• Identify opportunities to leverage data science and ML for business value.

Requirements

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Solid understanding of machine learning algorithms and statistical modeling.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation and analysis tools (e.g., Pandas, SQL).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication skills, with the ability to explain complex concepts clearly.
• Ability to work independently and manage time effectively in a remote setting.
• Proven ability to work with diverse datasets.
• Must be legally authorized to work remotely in South Africa.

Benefits

• Competitive contract rate commensurate with experience.
• Full remote work flexibility.
• Opportunity to work on challenging and impactful projects.
• Continuous learning and professional development in AI/ML.
• Exposure to cutting-edge technologies and methodologies.
• Collaborative environment with a global team.
• Contribution to industry-leading data science initiatives.
• Potential for long-term engagement based on performance and project needs.