Data Scientist - Machine Learning & AI

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote-friendly culture

Competitive salary

Home office allowance

Professional development budget

Job summary

Placements24 seeks a highly motivated Data Scientist for a fully remote role focusing on ML/AI to deliver data-driven insights, predictive models, and automation. You will work with large datasets, implement state-of-the-art algorithms, and collaborate with cross-functional teams.

Requirements include a master's or PhD in a quantitative field, 4+ years of experience, Python or R, and experience with TensorFlow/PyTorch. Strong communication and remote-work discipline are essential.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience in data science or machine learning roles.
• Strong proficiency in programming languages such as Python or R.
• Extensive experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).

Responsibilities

• Design, develop, and deploy machine learning models and algorithms to address business challenges.
• Perform data cleaning, feature engineering, and data preprocessing on large and complex datasets.
• Evaluate model performance, iterate on approaches, and optimize algorithms for accuracy and efficiency.
• Collaborate with engineering and product teams to integrate ML models into production systems.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop and maintain data pipelines for model training and deployment.
• Stay abreast of the latest advancements in machine learning, deep learning, and artificial intelligence.
• Communicate complex findings and recommendations to both technical and non-technical stakeholders.
• Contribute to the development of the company's data science strategy and best practices.
• Build and maintain documentation for data models and analytical processes.

Skills

Python

R

ML libraries

Big data

SQL

Communication

Remote work

Education

Master's degree in Computer Science, Statistics, Mathematics

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a cutting-edge technology firm focused on data-driven insights, is seeking a highly motivated Data Scientist with expertise in Machine Learning and AI to join their remote team. This role is central to developing and implementing advanced analytical models that extract valuable information from large datasets, driving strategic decision-making and product innovation. You will work on challenging problems, leveraging sophisticated algorithms and statistical techniques to build predictive models, recommend systems, and intelligent automation solutions. This is a fantastic opportunity for a data scientist to work in a fully remote capacity, pushing the frontiers of AI and machine learning within a collaborative and intellectually stimulating environment. The ideal candidate will have a strong academic background, hands-on experience with ML frameworks, and a passion for solving complex real-world problems using data.

Key Responsibilities

• Design, develop, and deploy machine learning models and algorithms to address business challenges.
• Perform data cleaning, feature engineering, and data preprocessing on large and complex datasets.
• Evaluate model performance, iterate on approaches, and optimize algorithms for accuracy and efficiency.
• Collaborate with engineering and product teams to integrate ML models into production systems.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop and maintain data pipelines for model training and deployment.
• Stay abreast of the latest advancements in machine learning, deep learning, and artificial intelligence.
• Communicate complex findings and recommendations to both technical and non-technical stakeholders.
• Contribute to the development of the company's data science strategy and best practices.
• Build and maintain documentation for data models and analytical processes.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience in data science or machine learning roles.
• Strong proficiency in programming languages such as Python or R.
• Extensive experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Solid understanding of statistical modeling, predictive analytics, and algorithm design.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is desirable.
• Proficiency in SQL and experience working with relational databases.
• Excellent problem-solving skills and analytical thinking.
• Strong communication and presentation skills, comfortable presenting technical concepts to diverse audiences.
• Ability to work effectively in a remote team environment.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and flexible remote working hours.
• Professional development budget for courses, conferences, and certifications.
• Opportunity to work on groundbreaking AI and ML projects.
• A collaborative and intellectually stimulating remote work culture.
• Home office setup allowance.
• Regular virtual team events and engagement activities.