Data Scientist

JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: https://corporate.jd.com/

We are seeking a Data Scientist to develop data-driven insights and machine learning models that power our personalization, recommendation, and analytics systems at Joybuy (https://www.joybuy.com/). Joybuy is JD.com’s European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers. In this role, you will transform raw data into business intelligence, working closely with data engineers, product managers, and business teams to improve decision-making and enhance customer experience across Joybuy operations.

Key Responsibilities:

Build predictive models and advanced analytics solutions to improve personalization, recommendation, and customer segmentation.

Analyze large-scale datasets to identify behavioral trends, business opportunities, and product improvement areas.

Partner with data engineers to ensure clean, reliable, and accessible data for experimentation and model deployment.

Design and run A/B tests to measure the impact of algorithms and product features.

Translate technical insights into clear, actionable recommendations for business and product stakeholders.

Stay current with research and industry best practices in machine learning, NLP, and AI, applying them to real-world e-commerce challenges.

Work onsite in London.

Minimum Qualifications:

Master’s degree or higher in Data Science, Statistics, Computer Science, or a related field.

3+ years of experience in data science, machine learning, or applied analytics.

Solid experience in the retail sector, logistics, and/or e-commerce.

Proficiency in Python, R, or Scala, with strong skills in data analysis and statistical modeling.

Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).

Strong knowledge of A/B testing, experimentation design, and causal inference.

Excellent communication skills in English.

Ability to present complex findings to non-technical stakeholders.

Preferred Qualifications:

Experience in global e-commerce, personalization, or recommendation systems.

Familiarity with big data platforms (Spark, Hadoop) and cloud ML pipelines (AWS Sagemaker, GCP Vertex AI, or Azure ML).

Background in NLP or computer vision applications for large-scale platforms.

Effective communication skills in Chinese.

JR101159