Senior E-commerce Data Scientist

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

Benefits offered by this job

Highly competitive salary and bonus

Hybrid work arrangement

Health, dental, and vision insurance

Generous paid time off & retirement

Job summary

Placements24 in Kimberley, Northern Cape, seeks a Senior E-commerce Data Scientist to lead analytics and ML initiatives in a fast-growing online retail environment. You will build predictive models, optimize customer experiences, and translate insights into business actions.

Ideal candidates have a Master’s or PhD in a quantitative field, 5+ years in data science with e-commerce focus, proficiency in Python or R, SQL, and experience deploying models in production, plus strong communication and

Qualifications

• 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 focus on e-commerce/online retail.
• Proficiency in Python or R with libraries like scikit-learn, TensorFlow, PyTorch.
• Strong SQL skills and experience with large-scale databases.
• Experience building and deploying ML models in production.
• Strong understanding of statistical modeling, experimental design, and data mining.
• Experience with Tableau or Power BI is a plus.
• Excellent problem-solving, analytical and communication skills.
• Cloud experience (AWS, Azure, GCP) is advantageous.

Responsibilities

• Develop, implement, and deploy ML models for e-commerce applications like personalization, recommendations, segmentation, churn, and fraud detection.
• Analyze large datasets to identify trends and actionable insights to drive growth.
• Design and run experiments (A/B tests) to evaluate new features and marketing initiatives.
• Collaborate with product, eng, and marketing to translate business problems into data solutions.
• Build and maintain data pipelines and analytics infrastructure.
• Communicate results to technical and non-technical stakeholders with clear visualizations.
• Stay updated with advances in data science and e-commerce analytics.
• Mentor junior data scientists and influence data science strategy.
• Ensure data quality and integrity across projects.
• Contribute to data-driven product development.

Skills

Python

R

SQL

Tableau

Power BI

AWS

Azure

GCP

ML deployment

Statistical modeling

Experimental design

Data mining

Communication

Team collaboration

Education

Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or related quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

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.