Data Scientist - Machine Learning Specialist

Placements24; Bellville; Hybrid; ZAR 221,000 - 443,000; Full time

Benefits offered by this job

Fully remote contract

Competitive daily rate or project–base

Flexible hours

Access to cutting-edge tools

Opportunity for extensions

Job summary

Placements24 is seeking a data scientist with a focus on machine learning to own end-to-end ML projects, from data collection and preprocessing to model development, validation, and deployment.

You will build predictive models, evaluate them, and translate insights into actionable business actions while collaborating with a globally distributed team.

Qualifications

• PhD or Master’s in a quantitative field.
• 4+ years as a Data Scientist focused on ML.
• Strong Python or R with ML libraries.
• Deep ML algorithm knowledge and big data exposure.
• Cloud experience and data viz skills.

Responsibilities

• Design, develop, and implement advanced ML models.
• Analyze large datasets to identify insights.
• Perform data preprocessing, feature engineering, and model training.
• Evaluate model performance and validate findings.
• Deploy models into production environments.
• Collaborate with stakeholders to translate requirements.
• Stay updated with ML research and communicate results.
• Contribute to data infrastructure and tooling.
• Maintain and improve ML pipelines.

Skills

Independent work

Project management

Data storytelling

Analytical thinking

Education

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

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

AWS/Azure/GCP

Job description

About the Role

Our client, a forward-thinking analytics company operating in Centurion, Gauteng , is seeking a talented and innovative Data Scientist with a specialization in Machine Learning. This role is perfect for an individual who thrives on extracting actionable insights from complex datasets and building sophisticated predictive models. You will be responsible for the entire lifecycle of machine learning projects, from data collection and preprocessing to model development, validation, and deployment. The ideal candidate has a strong theoretical foundation in statistical modeling and machine learning algorithms, coupled with practical experience in implementing these techniques to solve real-world business problems. This is a fully remote position, offering flexibility and the opportunity to collaborate with a globally distributed team. We are passionate about leveraging data to drive decision-making and seeking a candidate who shares this vision. Your expertise will be crucial in developing next-generation analytical solutions.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms.
• Analyze large, complex datasets to identify trends, patterns, and insights.
• Perform data preprocessing, feature engineering, and model training.
• Evaluate model performance using appropriate metrics and validate findings.
• Deploy machine learning models into production environments.
• Collaborate with stakeholders to understand business requirements and translate them into data science problems.
• Stay up-to-date with the latest research and advancements in machine learning and artificial intelligence.
• Communicate findings and model results effectively to both technical and non-technical audiences.
• Contribute to the development of data infrastructure and tools.
• Maintain and improve existing machine learning pipelines and models.

Requirements

• PhD or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist with a focus on machine learning.
• Strong proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
• Deep understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Experience with big data technologies (e.g., Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Excellent data visualization and storytelling skills.
• Strong problem-solving abilities and a scientific approach to research.
• Ability to work independently and manage multiple projects simultaneously.

Benefits

• This is a fully remote contract position offering a highly competitive daily rate or project-based compensation, commensurate with experience.
• Our client provides flexibility in working hours and location
• access to cutting-edge data science tools and platforms
• opportunities to work on challenging and impactful projects.
• Enjoy the autonomy of remote work while contributing to significant advancements in data-driven solutions.
• Project extensions and potential for future engagements are available based on performance and project needs.