At a Glance
- Tasks: Create data-driven insights and machine learning models for personalisation and recommendations.
- Company: Join JD.COM, a leader in e-commerce and technology.
- Benefits: Innovative work environment with opportunities for growth and development.
- Other info: Be part of a dynamic team in a thriving tech ecosystem.
- Why this job: Make a real impact on global e-commerce through cutting-edge technology.
- Qualifications: Master’s degree and 3+ years of experience in data science and machine learning.
The predicted salary is between 50000 - 70000 £ per year.
JD.COM, located in Harrow, is looking for a Data Scientist to join their team. The role involves developing data-driven insights and machine learning models that enhance the personalization and recommendation systems across JD.com’s international e-commerce operations.
The ideal candidate will have a Master’s degree and 3+ years of relevant experience, with a strong proficiency in Python and machine learning practices. This position offers opportunities for innovation within a leading technology and supply chain ecosystem.
Global E‑commerce Data Scientist — Personalization & ML in London employer: JD.COM
JD.COM is an exceptional employer that fosters a culture of innovation and collaboration in the vibrant setting of Harrow. Employees benefit from a dynamic work environment that encourages professional growth through continuous learning opportunities and cutting-edge projects in e-commerce and machine learning. With a commitment to employee well-being and a focus on impactful work, JD.COM stands out as a rewarding place for those seeking to make a difference in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Global E‑commerce Data Scientist — Personalization & ML in London
✨Tip Number 1
Network like a pro! Reach out to current employees at JD.COM on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects and data-driven insights. This will help you stand out during interviews and demonstrate your expertise in Python and personalisation.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to innovate in the e-commerce space.
We think you need these skills to ace Global E‑commerce Data Scientist — Personalization & ML in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, especially with Python and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about e-commerce and how your background makes you a perfect fit for our team. Let us know what excites you about personalisation and recommendation systems.
Showcase Your Projects:If you've worked on any interesting data science projects, especially those involving personalisation or machine learning, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at JD.COM
✨Know Your Data Science Fundamentals
Brush up on your machine learning concepts and data analysis techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in personalisation and recommendation systems.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a coding problem or explain your previous projects, so have examples ready that highlight your coding abilities.
✨Understand JD.COM's Business Model
Research JD.COM’s e-commerce operations and their approach to personalisation. Being able to discuss how your skills can directly contribute to their goals will show that you’re genuinely interested in the role.
✨Prepare for Behavioural Questions
Think of specific examples from your past experiences that showcase your problem-solving skills and teamwork. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
