Data Understanding Specialist - (Third Party Associate) - Italian Market- Portugal

Responsibilities

Important Note: Please be advised that this job posting is for informational purposes only. This is a 6 month temporary assignment managed by HYLegal. All contractual terms, including payroll and benefits, will be handled by HYLegal. By applying, you agree that the information provided in your application may be processed for recruitment purposes, shared with the third-party agency, and other purposes in accordance with ByteDance's Applicant Privacy Notice https://sf16-sg.tiktokcdn.com/obj/eden-sg/uvyloeh7vhonuhf/privacy/ByteDance_Global_Applicant_Privacy_Notice.pdf

About the team
The Global Monetization Integrity team ensures TikTok users have a safe experience while viewing advertisements. They work closely with advertisers to create ad policies, manage content review processes, and more. As we continue to add advertising on TikTok, this team is critical in assuring a joyful and creative ads experience for the community.

About The Role
A Data Understanding Specialist is a critical player at the junction of data collection, model development, and project success. Their main responsibility is to act as a bridge between machine learning engineers and labellers, ensuring the accurate application of structure to unstructured data such as video, images, text, etc. supporting the building of world class machine learning solutions.

Responsibilities:
1. Labelling rules clarification and training
- Define clear and unambiguous labelling rules to ensure high quality labelling output
- Simplify labelling rules to reduce contextual knowledge for labelling while providing training to labellers if needed
- Ensure that labelling rules meet model training requirements

2. Quality improvement and assurance
- Monitor and review quality of labelled data
- Timely root-cause identification of quality issues for remediation
- Identify opportunities and areas of improvement to optimize delivery

3. Project management
- Deliver projects on time and on target flagging any key risks that arise
- Deep dive into issues that arise during project lifecycle with solutions that ensure delivery
- Manage stakeholders to drive transparency across the data delivery pipeline

Qualifications

Minimum qualifications:
1.Fluent in written and spoken required language plus business level English
2. 1-3 years experience in operation for a tech or social media company data analytic experience
3. Proficiency in data interpretation and analysis; Understanding of AI and Machine Learning concepts, particularly as they relate to data labelling is a plus
4. Excellent verbal and written communication skills for clear and effective communication with both requestors and labellers
5. Strong abilities in simplifying complex instructions and requirements, along with robust experience in training in a technical context
6. Experience in project management with strong organizational skills to manage multiple tasks concurrently, preferably in a data-intensive environment

Preferred Qualifications:
1. Strong analytical and problem-solving skills to identify and resolve issues
2. Strong technical skills in SQL and scripting languages (Python, R) are a plus
3. Fluency in English (written and verbal) and an additional language