Senior E-Commerce Data Scientist

About the Role
Our client, a leading innovator in the online retail space, is actively seeking a highly skilled Senior E-commerce Data Scientist to join their analytics team in Kimberley, Northern Cape. This role is pivotal in leveraging advanced analytics, machine learning, and statistical modeling to drive strategic decisions, optimize customer experiences, and unlock new revenue streams within the e-commerce ecosystem. You will be responsible for building predictive models, analyzing complex datasets, and translating data-driven insights into tangible business strategies. The ideal candidate possesses a strong background in data science, a deep understanding of e-commerce metrics, and exceptional skills in programming and statistical analysis. This is a challenging and rewarding opportunity to make a significant impact on a data-centric organization in Kimberley .Key Responsibilities
Develop, implement, and deploy machine learning models for various e-commerce applications, including personalization, recommendation engines, customer segmentation, churn prediction, and fraud detection.Analyze large and complex datasets to identify trends, patterns, and actionable insights that drive business growth and improve customer engagement.Design and conduct experiments (e.G., A/B testing) to evaluate the impact of new features and marketing initiatives.Collaborate closely with product managers, engineers, and marketing teams to translate business problems into data science solutions.Build and maintain robust data pipelines and analytical frameworks.Communicate complex analytical findings and recommendations to both technical and non-technical stakeholders through clear visualizations and presentations.Stay current with the latest advancements in data science, machine learning, and e-commerce analytics.Mentor junior data scientists and contribute to the overall data science strategy of the company.Ensure data quality and integrity across all analytical projects.Contribute to the development of data-driven products and features.Requirements
Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.5+ years of experience in data science, with a significant focus on e-commerce or online retail.Proficiency in programming languages such as Python or R, and extensive experience with relevant libraries (e.G., scikit-learn, TensorFlow, PyTorch).Strong expertise in SQL and experience working with large-scale databases.Proven experience in building and deploying machine learning models in a production environment.Deep understanding of statistical modeling, experimental design, and data mining techniques.Experience with data visualization tools (e.G., Tableau, Power BI) is a plus.Excellent problem-solving, analytical, and critical thinking skills.Strong communication and interpersonal skills, with the ability to explain technical concepts effectively.Experience with cloud platforms (AWS, Azure, GCP) is advantageous.Benefits
Highly competitive salary and performance-based bonus.Hybrid work arrangement offering a balance between office and remote work.Comprehensive health, dental, and vision insurance.Generous paid time off and retirement plan contributions.Opportunities for cutting-edge research and development.Professional development budget for conferences and training.Engaging work environment in Kimberley with a focus on innovation.
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