Principal Data Scientist, Machine Learning

About the Role

Our client is seeking a highly accomplished Principal Data Scientist with a specialization in Machine Learning to join their innovative research division based in Rustenburg. This role is integral to developing and implementing sophisticated data-driven solutions that will shape the future of our scientific endeavors. You will be at the forefront of leveraging advanced algorithms and statistical modeling to extract actionable insights from vast datasets. This position demands a deep understanding of machine learning principles, extensive experience in building and deploying predictive models, and the ability to translate complex analytical findings into strategic business recommendations. As a key member of our on-site team, you will foster collaboration, mentor junior data scientists, and contribute significantly to our cutting-edge projects. We are committed to creating an environment where groundbreaking research thrives, supported by state-of-the-art facilities and a culture that encourages intellectual curiosity and continuous learning. This is an unparalleled opportunity to lead impactful projects in a challenging and rewarding setting.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models for predictive analytics, pattern recognition, and optimization.
• Lead the full data science lifecycle, from data collection and cleaning to model training, validation, and deployment.
• Collaborate closely with domain experts, engineers, and product managers to identify business needs and translate them into data science solutions.
• Analyze large, complex datasets to uncover trends, insights, and opportunities for improvement.
• Develop and maintain robust data pipelines and MLOps frameworks to ensure scalability and reliability.
• Communicate complex technical findings and recommendations clearly and concisely to both technical and executive audiences.
• Mentor and guide junior data scientists, fostering their growth and technical expertise.
• Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science methodologies.
• Contribute to the strategic direction of the data science team and the company's data initiatives.
• Ensure the ethical and responsible use of data and machine learning models.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 8 years of professional experience in data science, with a strong focus on machine learning.
• Proven expertise in developing and implementing a wide range of machine learning algorithms (e.g., regression, classification, clustering, deep learning, NLP).
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of statistical modeling, experimental design, and data visualization techniques.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Exceptional communication and presentation skills, with the ability to convey complex ideas effectively.
• Demonstrated experience leading complex data science projects from inception to completion.
• Familiarity with software development best practices, including version control (Git) and testing.

Benefits

• Our client offers a highly competitive salary, a comprehensive benefits package including health, dental, and vision insurance, a generous retirement plan, and substantial paid time off.
• Opportunities for professional growth include extensive training, conference attendance, and internal mobility.
• The Rustenburg location provides a vibrant community, and the company culture emphasizes innovation and collaboration.
• We provide relocation assistance for eligible candidates and performance-based incentives.

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