TikTok Shop - Data Scientist (EMEA)

TikTok
London, UK
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Data Analysis Data Infrastructure Monitoring of Systems Apache Hive Python (Programming Language) Machine Learning Standard Sql Information Technology Data Analytics

Job description

About the Team 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 Data Scientist, 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 across new markets in Europe.

Responsibilities

  • Responsible for data analysis of e-commerce operation strategy; independently, including Merchant Strategy, Creator Strategy, Business performance and reporting;
  • Design monitoring systems independently to reflect any changes of business in time;
  • Describe the situation of business, explain the fluctuations of business and provide valuable suggestions with reports;
  • 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.

Requirements

  • Bachelor degree or above, major in mathematics, statistics, computer science or data science;
  • At least 4 years of working experience in data analysis and/or data science;
  • Proficient in SQL/Hive/Python or R and/or other relevant languages;
  • Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice;
  • Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;
  • Experience operating in an analytical role involving within an e-commerce or similar environment, * Experienced in machine learning & modeling;
  • Self-driven, ability to learn new information quickly and adapt into ways of working with global staff in a diverse and cross-functional environment;
  • Have a strong learning ability and curiosity; familiar with starting a new business.

About the company

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo., Inspiring creativity is at the core of TikTok’s mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day., TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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