TikTok Shop - Senior Data Scientist, Operations
TikTok Shop - Senior Data Scientist, Operations
1 week ago Be among the first 25 applicants
Responsibilities
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 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.
Qualifications
Minimum Qualifications:
- Bachelor's degree or above, majoring in statistics or data science is preferred;
- 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.
About TikTok
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.
Why Join Us
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.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
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.
Seniority level
* Seniority level
Associate
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Technology, Information and Internet
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