Senior Data Scientist - Ai Model Development

About the Role
Our client, a leader in AI & Emerging Technologies, is seeking a talented Senior Data Scientist to join their advanced analytics team in Kimberley, Northern Cape, ZA. This role is critical for developing and implementing sophisticated machine learning models that drive business innovation and provide actionable insights. You will work on challenging projects, leveraging large datasets to uncover patterns, predict outcomes, and optimize performance. The ideal candidate possesses strong analytical skills, a deep understanding of statistical modeling and machine learning techniques, and proven experience in building production-ready models. We are looking for an individual passionate about data-driven decision-making and contributing to the cutting edge of AI development.Key Responsibilities
Develop, train, and evaluate advanced machine learning models for various business applications.Clean, transform, and analyze large, complex datasets to extract meaningful insights.Collaborate with business stakeholders to understand their needs and translate them into data science problems.Design and implement experiments to test hypotheses and validate model performance.Deploy machine learning models into production environments and monitor their performance.Stay current with the latest advancements in data science, machine learning, and AI.Communicate findings and recommendations effectively to both technical and non-technical audiences.Mentor junior data scientists and contribute to best practices within the team.Identify new opportunities for leveraging data science and AI to solve business challenges.Ensure data quality and integrity throughout the data science lifecycle.Requirements
Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.5+ years of professional experience as a Data Scientist, with a strong track record in model development.Proficiency in programming languages such as Python or R and experience with relevant libraries (e.G., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).Deep understanding of statistical modeling, machine learning algorithms, and evaluation metrics.Experience with data visualization tools and techniques.Strong SQL skills for data extraction and manipulation.Experience with big data technologies (e.G., Spark, Hadoop) is a plus.Excellent analytical, problem-solving, and critical-thinking skills.Strong communication and presentation skills.Ability to work effectively both independently and as part of a team.Benefits
Competitive salary and performance-based bonus structure.Comprehensive medical, dental, and vision insurance plans.Generous paid time off and holiday allowances.Opportunities for professional development, including training and conferences.Access to advanced analytics tools and resources.A collaborative and innovative work environment.Potential for career advancement within the organization.Retirement savings plan with employer contributions.Team-building events and social activities.Relocation assistance may be available.
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