Remote Senior Data Scientist - Machine Learning

Placements24; Midrand; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Remote work flexibility

Health insurance included

Professional development budget

Generous paid time off

Job summary

Placements24 seeks a Senior Data Scientist for a fully remote role. You will design and deploy advanced ML models, analyze large datasets, and collaborate with engineers to push AI applications forward. Strong communication skills and remote work experience are essential.

PhD or Master’s in a quantitative field with 5+ years of ML experience is required. Proficiency in Python/R and ML libraries is expected; cloud and big data experience is a plus.

Qualifications

• PhD or Master’s degree in a quantitative field (CS/Stats/Math).
• 5+ years hands-on experience in data science and ML roles.
• Proficiency in Python or R and ML libraries.
• Experience with big data tech (Spark/Hadoop) and SQL.
• Ability to work independently in a remote setting.

Responsibilities

• Design, develop, and implement ML models for various applications.
• Analyze large datasets to extract insights and identify trends.
• Prepare data for model training and evaluation; ML deployment with engineering teams.
• Evaluate and refine model performance for accuracy and efficiency.
• Mentor junior data scientists and share knowledge.

Skills

Python

R

Statistics

Machine learning

Data visualization

SQL

Remote work

Education

PhD in CS/Statistics/Mathematics

Master’s degree in a quantitative field

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a leading global AI research and development firm, is seeking a talented Senior Data Scientist with expertise in Machine Learning to join their innovative, fully remote team. This position is designed for individuals passionate about leveraging data to solve complex problems and drive business value. You will be instrumental in developing and deploying advanced machine learning models, contributing to groundbreaking research, and collaborating with a world-class team of data scientists and engineers. The role offers the unique advantage of working from anywhere, providing ultimate flexibility while being part of a cutting-edge organization. If you have a strong analytical mindset, a deep understanding of statistical modeling, and a desire to push the boundaries of AI, this is the perfect opportunity. Our client values collaboration and innovation, fostering an environment where your contributions will have a significant impact.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models for various applications.
• Analyze large, complex datasets to extract meaningful insights and identify trends.
• Clean, transform, and prepare data for model training and evaluation.
• Collaborate with engineering teams to deploy models into production environments.
• Evaluate and refine model performance, ensuring accuracy and efficiency.
• Conduct statistical analysis and hypothesis testing.
• Stay current with the latest research and advancements in machine learning and artificial intelligence.
• Communicate findings and insights to technical and non-technical stakeholders.
• Develop prototypes and proofs of concept for new machine learning applications.
• Mentor junior data scientists and contribute to the team's knowledge sharing.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in data science and machine learning roles.
• Strong proficiency in programming languages such as Python or R.
• Expertise with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of statistical modeling, algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Excellent communication and presentation skills.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.

Benefits

• Highly competitive salary of R per annum.
• Fully remote work arrangement, offering exceptional work-life balance.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Professional development budget for conferences, courses, and certifications.
• Opportunity to work on groundbreaking AI projects with a global impact.
• Access to state-of-the-art computational resources.