At a Glance
- Tasks: Analyse e-commerce strategies and collaborate with diverse teams to drive growth.
- Company: Join TikTok Shop's dynamic Data Science team in London.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Work in a vibrant, global environment with excellent career advancement potential.
- Why this job: Make a real impact on the future of e-commerce with data-driven insights.
- Qualifications: 3+ years in data analysis, proficient in SQL and Tableau.
The predicted salary is between 56250 - 68750 £ per year.
The Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. Through impactful data insights and data products, the team focuses on areas such as metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. The team enables informed decision-making and helps optimize the performance and effectiveness of TikTok Shop.
As a Senior Data Analyst focusing, you will have the opportunity to collaborate closely with a variety of teams within the commerce business, including product, operation, marketing, and other teams. You will be able to leverage your data analytical expertise and strong business acumen to accelerate the growth of commerce business.
Responsibilities:
- Responsible for data analysis of e-commerce operation strategy including Merchant Strategy, Creator Strategy, Business performance and reporting;
- Design monitoring systems independently to reflect any changes of business in time.
- Cooperate with Ops team to set strategy, e.g. finding potential creators, measuring LTV of users, figuring out the growth strategy of merchants, etc.;
- Follow up the data analysis of regional operation teams in several overseas markets, support the operation effect and give follow-up optimization suggestions;
- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.
Minimum Qualifications:
- Bachelor's degree or above
- At least 3 years of working experience in data analysis and/or science
- Proficient in SQL and Tableau and/or other relevant languages.
- Experience operating in an analytical role involving within an e-commerce or similar environment.
- Self-driven, ability to learn new information quickly and adapt into ways of working with global staff in a diverse and cross‑functional environment.
Preferred Qualifications:
- Familiarity with common statistical methods and applications (A/B testing, probability, regression)
- Experience with Python or R.
- Majoring in statistics or data science is preferred;
TikTok Shop - Senior Data Scientist, Operations in London employer: TikTok Shop
At TikTok Shop, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture in the heart of Greater London. Our Data Science team is dedicated to empowering employees through continuous learning and collaboration across diverse teams, offering ample opportunities for professional growth and impactful contributions to the e-commerce landscape. With a focus on innovation and data-driven decision-making, we provide a stimulating environment where your expertise can truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land TikTok Shop - Senior Data Scientist, Operations in London
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We think you need these skills to ace TikTok Shop - Senior Data Scientist, Operations in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TikTok Shop, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TikTok Shop. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TikTok Shop
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TikTok Shop!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
