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Data Science Lead, Spain

hace 3 semanas


Madrid, España TikTok A tiempo completo

Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.

Why Join Us
At TikTok, our people are humble, intelligent, compassionate, and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make the impact happen with a career at TikTok.

About The Team
The tech industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new experience to our users. We are looking for passionate and talented people to join our logistics operations team, together we can build a commerce ecosystem that is innovative, secure and intuitive for our users.

We are looking for a data science lead to join our Global Data Science team, responsible for data analysis of operation strategy for the emerging business

**Responsibilities**:

- Responsible for data analysis of operation strategy including Seller Strategy, Creator Strategy, Business performance, and reporting;
- Lead the data analysis for our Spanish market going forward, able to coach and grow the team;
- Design the monitoring systems independently to reflect any changes of business in time;
- Cooperate with the 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 local business teams in several markets, support the operation effect and give the follow-up optimization suggestions;
- Describe the situation of business, explain the fluctuations of business and provide valuable suggestions with reports;
- Cooperate with crossfunctional teams, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business;
- Cooperate with crossfunctional teams to build data systems and user-friendly data products to support business.

**Qualifications**:

- Master degree or above, major in mathematics, statistics, computer science is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation;
- At least 7 years of working experience in data science track, and have a good business sense in e-commerce;
- At least 2 years of people management experience required;
- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling;
- 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 approachs to solve business problems;
- Global working experience or analytical experience is preferred;
- Written and verbal English skills are required for daily communications with global teams;
- Have a strong learning ability and curiosity; Quickly familiar with and starting a new business; Can lead a small project team to support business;
- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

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.