E‑Commerce Data Scientist: Experience & Governance in London

E‑Commerce Data Scientist: Experience & Governance in London

London Full-Time 50000 - 70000 € / year (est.) No home office possible
TikTok

At a Glance

  • Tasks: Analyse customer experience metrics and optimise e-commerce transactions through data insights.
  • Company: Join TikTok, a global leader in creativity and innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Fast-paced environment with a focus on creativity and collaboration.
  • Why this job: Make a real impact on user experiences while working with cutting-edge data science techniques.
  • Qualifications: Bachelor’s degree and experience with SQL and Python or R required.

The predicted salary is between 50000 - 70000 € per year.

TikTok is seeking a Data Scientist to join their e-commerce data science team in Greater London. The role focuses on maximizing the efficiency of e-commerce transactions by analyzing customer experience metrics, conducting deep analyses, and designing A/B tests.

Successful candidates will have:

  • A Bachelor’s degree in a relevant field
  • Experience with SQL and data analysis in Python or R
  • The ability to work under pressure

Join TikTok to inspire creativity and bring joy to users worldwide.

E‑Commerce Data Scientist: Experience & Governance in London employer: TikTok

At TikTok, we pride ourselves on being an innovative employer that fosters a vibrant work culture in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and collaborative projects that inspire creativity and drive impactful results. Join us to be part of a dynamic team where your contributions will not only enhance e-commerce experiences but also bring joy to users around the globe.

TikTok

Contact Detail:

TikTok Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land E‑Commerce Data Scientist: Experience & Governance in London

Tip Number 1

Network like a pro! Reach out to people in the e-commerce and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.

Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL queries, Python or R analyses, and any A/B tests you've designed. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially when it comes to analysing customer experience metrics. We want you to shine!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace E‑Commerce Data Scientist: Experience & Governance in London

Data Analysis
SQL
Python
R
A/B Testing
Customer Experience Metrics Analysis
Analytical Skills

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with SQL and data analysis in Python or R. We want to see how you can bring your technical skills to the table, so don’t hold back!

Tailor Your Application:Take a moment to customise your application for the E-Commerce Data Scientist role. Mention specific projects or experiences that relate to analysing customer experience metrics or conducting A/B tests. It’ll make you stand out!

Keep It Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your passion for data science shines through!

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 this exciting opportunity!

How to prepare for a job interview at TikTok

Know Your Data Tools

Make sure you brush up on your SQL and Python or R skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data or improve customer experiences. This will show that you can hit the ground running!

Understand A/B Testing

Since the role involves designing A/B tests, be prepared to explain your approach to testing hypotheses. Bring examples of tests you've conducted in the past, what metrics you tracked, and how you interpreted the results. This will demonstrate your practical knowledge and analytical thinking.

Showcase Your Problem-Solving Skills

E-commerce can be fast-paced and challenging, so think of examples where you've worked under pressure to solve complex problems. Highlight your thought process and how you arrived at your solutions. This will help the interviewers see your resilience and creativity.

Research TikTok's E-Commerce Strategy

Familiarise yourself with TikTok's current e-commerce initiatives and how they leverage data science. Being able to discuss their strategies and suggest improvements will show your genuine interest in the company and the role, making you a standout candidate.