Senior Data Scientist - Machine Learning

Placements24; Randburg; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary with performanceBon

Job summary

Placements24 is seeking a Senior Data Scientist with a focus on Machine Learning to join a remote team. You will design and deploy predictive ML models, explore and engineer features from large datasets, and collaborate with engineering and product teams to deliver production-ready solutions.

The role emphasizes cutting-edge AI research, strong communication, and impactful data-driven decision making. The candidate should have a strong ML portfolio, 5+ years of experience, expertise in Python or

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in data science and machine learning, with a strong portfolio of ML projects.
• Proficiency in programming languages such as Python or R, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and deploy sophisticated machine learning models for predictive analytics, classification, clustering, and recommendation systems.
• Perform data exploration, cleaning, feature engineering, and model evaluation on large, complex datasets.
• Collaborate with engineering and product teams to integrate ML models into production systems and applications.
• Stay abreast of the latest advancements in machine learning and artificial intelligence, identifying opportunities for innovation.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Conduct A/B testing and other experimental designs to measure the impact of ML solutions.

Skills

Machine Learning

Data Science

Statistical Modeling

Experiment Design

Communication Skills

Education

Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS/Azure/GCP

Job description

About the Role

Our client is at the forefront of data-driven innovation and is seeking an experienced Senior Data Scientist specializing in Machine Learning to join their remote team. In this role, you will leverage vast datasets to develop predictive models, uncover actionable insights, and drive strategic decisions across the organization. You will work on challenging problems, applying advanced statistical and machine learning techniques to create intelligent solutions that provide a competitive edge. This is an ideal position for a candidate who thrives in a collaborative, research-oriented environment and is passionate about pushing the boundaries of AI and ML.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models for predictive analytics, classification, clustering, and recommendation systems.
• Perform data exploration, cleaning, feature engineering, and model evaluation on large, complex datasets.
• Collaborate with engineering and product teams to integrate ML models into production systems and applications.
• Stay abreast of the latest advancements in machine learning and artificial intelligence, identifying opportunities for innovation.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Conduct A/B testing and other experimental designs to measure the impact of ML solutions.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in data science and machine learning, with a strong portfolio of ML projects.
• Proficiency in programming languages such as Python or R, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive salary and significant performance-based bonuses.
• Fully remote position offering excellent work-life balance and flexibility.
• Comprehensive health, dental, and vision insurance plans.
• Generous research and development budget, including conference attendance.
• Opportunity to work on challenging and impactful ML problems with leading-edge technology.