Senior Data Scientist - Machine Learning

Placements24; Bloemfontein; Hybrid; ZAR 1,959,000 - 2,938,000; Full time

Benefits offered by this job

Salary + bonuses

Health, dental, vision insurance

Home office stipend

Professional development

Remote-first culture

Job summary

Placements24 is seeking a highly skilled Senior Data Scientist with expertise in Machine Learning to join our fully remote team. You will build predictive models and develop algorithms that drive data-driven decision-making across the organization.

The ideal candidate has a Master's or PhD in a quantitative field, 5+ years of experience, and strong Python or R skills with TensorFlow, PyTorch, and scikit-learn. Experience with Spark, Hadoop, and cloud platforms is a plus.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science and machine learning.
• Strong programming skills in Python or R, with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical modeling, experimental design, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms.
• Excellent problem-solving abilities and communication skills, crucial for remote collaboration.

Responsibilities

• Design, develop, and deploy machine learning models for various applications, including prediction, classification, and clustering.
• Process, clean, and transform large, complex datasets to prepare them for analysis.
• Evaluate model performance, iterate on designs, and optimize algorithms for accuracy and efficiency.
• Collaborate with product managers, engineers, and stakeholders to understand business needs and translate them into data science solutions.
• Communicate complex findings and insights clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in machine learning and artificial intelligence.

Skills

Python

R

ML

Education

Master's degree in CS/Statistics/Math

PhD in CS/Statistics/Math

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Cloud platforms

Job description

Our client is seeking a highly skilled Senior Data Scientist with expertise in Machine Learning to join their fully remote team. You will leverage vast datasets to build predictive models, develop innovative algorithms, and drive data-driven decision-making across the organization. This role offers the chance to work on challenging problems with significant impact, collaborating with diverse teams globally. The ideal candidate is a proactive problem-solver, passionate about uncovering insights from data and contributing to a leading-edge technology company, all within a flexible, remote work setting.

Key Responsibilities

• Design, develop, and deploy machine learning models for various applications, including prediction, classification, and clustering.
• Process, clean, and transform large, complex datasets to prepare them for analysis.
• Evaluate model performance, iterate on designs, and optimize algorithms for accuracy and efficiency.
• Collaborate with product managers, engineers, and stakeholders to understand business needs and translate them into data science solutions.
• Communicate complex findings and insights clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in machine learning and artificial intelligence.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science and machine learning.
• Strong programming skills in Python or R, with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical modeling, experimental design, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms.
• Excellent problem-solving abilities and communication skills, crucial for remote collaboration.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous allowance for home office setup and remote work infrastructure.
• Opportunities for professional development, training, and conference attendance.
• A culture that champions innovation, collaboration, and employee well-being in a remote-first environment.