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Wissen Technology

Posted 27 Aug 2026

Senior Data Scientist

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Employment
Full time
Team
Data Science & Analytics
Posted
27 Aug 2026

About the role

We are seeking an inspiring, technically savvy data scientist who is passionate about building a best-in-class experimentation platform/program to support our rapidly growing suite of eCommerce products. As a Senior Data Scientist, you will be a key player in driving data-driven decision-making across the organisation, collaborating closely with engineering, product, marketing, and other cross-functional teams to deliver insights and products that shape the future of our business. You will also mentor junior data scientists and help to foster a culture of experimentation throughout the organisation.


Responsibilities:

  • Conduct advanced statistical analysis (e. g., causal inference, Bayesian analysis, regression modelling) to derive actionable insights from experimentation results.
  • Develop and refine models to predict customer behaviour and optimise conversion rates, retention, and other key business metrics.
  • Analyse large-scale datasets and design efficient algorithms to support decision-making in areas like pricing, product recommendations, and personalisation.
  • Stay current with the latest advancements in data science, statistics, and experimentation methodologies.
  • Propose innovative approaches to enhance the experimentation framework, such as new experimental designs, alternative modelling techniques, or improved metrics.
  • Lead or participate in research to explore new ways of measuring and optimising the customer journey in a retail/e-commerce setting.


Requirements:

  • Advanced knowledge of statistical methodologies for experiment design, analysis, and causal inference.
  • Expertise in analytics/data software/tools such as Python, R, SQL, and experience with machine learning frameworks (e. g., TensorFlow, scikit-learn).
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executive leadership.
  • Solid understanding of e-commerce and retail metrics (e. g., conversion rate, customer lifetime value, churn, etc. ) and how they relate to experimentation.

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