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Remote E-commerce Data Scientist

Remote / Online - Candidates ideally in
South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
About the Role

Our client is seeking a highly skilled Remote E-commerce Data Scientist to join their innovative team. This fully remote position will leverage advanced analytics and machine learning techniques to uncover insights and drive strategic decision-making across our e-commerce operations. You will be instrumental in building predictive models, optimizing customer experiences, and identifying new growth opportunities. This is a critical role for a data-driven expert who thrives on solving complex problems and shaping the future of our digital business through data-informed strategies, working in a fully distributed and collaborative environment.

Key Responsibilities
  • Develop and implement sophisticated machine learning models to predict customer behavior, optimize pricing, and personalize recommendations.
  • Analyze large datasets from various sources (e.g., website traffic, sales, customer interactions) to identify key trends and insights.
  • Design and execute experiments (A/B testing) to measure the impact of new features and marketing strategies.
  • Collaborate with product, marketing, and engineering teams to translate data insights into actionable business strategies.
  • Build and maintain robust data pipelines and reporting systems to track key performance indicators.
  • Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders.
Requirements
  • Advanced degree (Master's or PhD) in a quantitative field such as Data Science , Statistics, Computer Science, or a related discipline.
  • Proven experience in applying machine learning techniques to solve business problems, preferably in e-commerce.
  • Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, Num Py).
  • Strong understanding of statistical modeling, experimental design, and data mining techniques.
  • Experience with SQL and working with large datasets, including cloud-based data warehouses.
  • Excellent problem-solving skills and the ability to work independently in a remote setting.
Benefits
  • Highly competitive salary, bonus, and potential equity options.
  • Fully remote position offering unparalleled flexibility and work-life balance.
  • Comprehensive health, dental, and vision insurance plans.
  • Generous budget for professional development, conferences, and home office setup.
  • Collaborative culture focused on innovation, learning, and impact.
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