Remote Senior Data Scientist (AI/ML)

Placements24; Gauteng; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Remote work

Comprehensive health benefits

Stock options

Generous paid time off

Job summary

Placements24 in South Africa is seeking a Senior Data Scientist to drive AI/ML initiatives remotely across the country. You will lead end-to-end model development, from data exploration to production deployment, collaborating with a global team.

A strong background in statistical modeling and diverse ML techniques is essential. You will mentor junior data scientists, translate complex business problems into data-driven solutions, and stay ahead of AI research while delivering tangible impact

Qualifications

• Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in Data Science, with a strong focus on Machine Learning.
• Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
• Solid understanding of various ML algorithms (e.g., regression, classification, clustering, deep learning, NLP).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong data manipulation and SQL skills.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Proven ability to work independently in a remote setting and manage project timelines effectively.
• Exceptional communication and presentation skills for articulating technical concepts.

Responsibilities

• Design, develop, and implement machine learning models and algorithms to address complex business challenges.
• Conduct exploratory data analysis to identify patterns, trends, and opportunities for predictive modeling.
• Build and deploy scalable AI/ML solutions in a cloud environment.
• Work with large, complex datasets, performing data cleaning, feature engineering, and transformation.
• Collaborate with software engineers and product managers to integrate ML models into production systems.
• Evaluate and compare different modeling techniques, ensuring the selection of the most effective approaches.
• Stay current with the latest research and advancements in AI, machine learning, and data science.
• Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations and reports.
• Mentor junior data scientists and contribute to the team's knowledge sharing.

Skills

Python proficiency

Statistical modeling

Data visualization

Remote collaboration

Problem solving

Education

Ph.D. or Master’s in CS/Statistics/Math

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a cutting-edge technology firm specializing in artificial intelligence and machine learning solutions, is seeking a Remote Senior Data Scientist to drive innovation from anywhere in South Africa . This fully remote position is perfect for a seasoned professional passionate about leveraging data to build intelligent systems. You will lead projects focused on developing and deploying advanced machine learning models, contributing to the core of our AI-driven products. This role requires a deep understanding of statistical modeling, machine learning algorithms, and a proven ability to translate complex business problems into data science solutions. Working remotely, you will collaborate with a global team of experts, pushing the boundaries of what's possible in AI. Your expertise will be critical in shaping the future of our intelligent platforms, ensuring we remain at the forefront of technological advancement.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms to address complex business challenges.
• Conduct exploratory data analysis to identify patterns, trends, and opportunities for predictive modeling.
• Build and deploy scalable AI/ML solutions in a cloud environment.
• Work with large, complex datasets, performing data cleaning, feature engineering, and transformation.
• Collaborate with software engineers and product managers to integrate ML models into production systems.
• Evaluate and compare different modeling techniques, ensuring the selection of the most effective approaches.
• Stay current with the latest research and advancements in AI, machine learning, and data science.
• Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations and reports.
• 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 professional experience in Data Science, with a strong focus on Machine Learning.
• Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
• Solid understanding of various ML algorithms (e.g., regression, classification, clustering, deep learning, NLP).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong data manipulation and SQL skills.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Proven ability to work independently in a remote setting and manage project timelines effectively.
• Exceptional communication and presentation skills for articulating technical concepts.

Benefits

This fully remote role offers ultimate flexibility, allowing you to work from the comfort of your own home in Pretoria or any other location in South Africa . Our client provides a highly competitive salary, potential for performance bonuses, and stock options. You will have access to a global network of AI professionals, cutting-edge tools, and opportunities for continuous learning through online resources and conferences. The company fosters a culture of innovation and autonomy, empowering employees to make a significant impact. Comprehensive health benefits and generous paid time off are also included, supporting a healthy and productive remote work-life balance.