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 recent 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.

📌 Senior E-commerce Data Scientist (Kimberley)
🏢 Placements24
📍 Kimberley