Data Scientist

Responsibilities
The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.
About the Role
We're looking for a highly capable Data Scientist/Data Solutions Manager to build the next generation of data solutions in support of industry leading products and services in the space of Monetization and Integrity that TikTok provides. You will be assessing business needs, innovating across your given resources, and navigating across both business and technical XFN stakeholder teams. You will design solutions to build data labeling at scale, using state-of-the-art algorithms and recognition models to improve datasets and optimize the requirement handling mechanism and process. You will also drive analytics and insights to aid business decisions and the quantification impact of initiatives through scientific approaches (like experimental designs).
Responsibilities
1. Work closely with stakeholders to capture requirements for data labeling projects;
2. Track the progress of data labeling projects and manage resources to ensure timely completion;
3. Develop strong relationships with XFN partner teams to deliver efficient data solutions that support revenue generation and cost savings;
4. Translating complex business requirements into technical product solutions;
5. Enhance on the service and quality of labelled data delivery;
6. Innovate across multiple different data product types to reduce cost and increase impact;
7. Utilize experience to recommend the right machine learning techniques to the appropriate business use-cases;
8. Experience the entire model pipeline from data gathering to model delivery and maintenance.
What you will need
1. Solid foundations of statistics and data science/analytics projects management is preferred;
2. Outstanding skills of communication, collaboration, project management, problem solving, and an excellent team player;
4. Strong interest in process optimization and improvement;
5. Highly conscientious with good attention to detail;
6. Experience in artificial intelligence, computer vision, and machine learning techniques and other fields are highly preferred.
Qualifications
Minimum Qualifications:
1. Bachelor's degree in Computer Science, Engineering or equivalent practical experience;
2. Experience with writing and optimizing SQL, and with one general purpose programming language (e.g., Java, C/C++, Python);
3. Experience in data analytics and data visualization.
4. Excellent proficiency in both written and spoken English
Preferred Qualifications:
1. Experience in client facing roles/consulting preferred.
2. Experience collaborating with cross-functional and global teams.
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.

Trust & Safety
TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.
We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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