Data Understanding Specialist - Data Cycling Center - Spanish Speaking (12-Month Fixed-term Con[...]

TikTok; Lisboa; Presencial; EUR 35 000 - 55 000; Tempo integral

Resumo da oferta

TikTok is seeking a professional for a role in the Global Monetization Integrity team based in Lisbon, Portugal. You'll bridge machine learning engineers and labelers, ensuring accurate data application while managing various projects. Candidates must be fluent in Spanish and English, with at least 1 year of data analytic experience. The role demands strong communication and organizational skills, along with a grasp of AI concepts. TikTok offers an innovative environment for motivated individuals passionate about technology and data-driven solutions.

Qualificações

• 1+ years experience in operation for a tech or social media company data analytic experience.
• Proficiency in data interpretation and analysis.
• Excellent verbal and written communication skills.

Responsabilidades

• Cooperate with Pillar DUS on project support and requirements.
• Monitor the quality of project outputs against KPIs.
• Identify and address operational challenges or inefficiencies.

Conhecimentos

Fluency in Spanish

Fluency in English

Data interpretation

Project management

Analytical skills

Communication skills

Ferramentas

SQL

Python

R

Descrição da oferta de emprego

Responsibilities

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.

TikTok DCC (Data Cycling Centre): The team focuses on building data-driven solutions and enhancing content understanding for both internal stakeholders and external users, aiming to solve significant problems through a combination of human and direct content understanding.

About the role

Your main responsibility is to act as a bridge between machine learning engineers and labelers, ensuring the accurate application of structure to unstructured data such as video, images, text, etc.

Key Responsibilities

1. Project Readiness, Delivery & Reporting:
   • Cooperate with Pillar DUS on project support and requirements. Provide project specific insights, RCA and business metrics. (Cooperate with XFN's where required, delegated)
   • Template application, selection: Work with FA's and DCC on the use, application and criteria for Labeling Template use. (TCS - JIMU / LP - Neeko)
   • SOP Creation / Iteration: Align with RD, BP on requirements, adhere to SOP template. Maintain and update SOP during project lifecycle mapping to any change in requirements or RCA feedback.
   • Queue Creation + Injection: Create Live and where required Practice, Test and 2RQA Queues. Across TCS and LP. Liase with FA for support. RD to own complex Queue injections. DUS to support uploading and injection of pre-identified data sets.
   • Creation of GDS: Help create, maintain and iterate the Golden Data Set. CS Exam creation linked to GDS.
2. Training and Quality Adherence and Integrity:
   • Train, Host or Record SOP review and application. Distribute to internal BD teams. (LMS - Absorb)
   • Monitor the quality of project outputs against KPIs and quality standards, taking corrective actions as necessary to maintain high standards of data accuracy and integrity.
   • Queue Health Check: Perform periodic reviews and audits of ongoing projects to identify potential issues or areas for improvement, implementing solutions to enhance project outcomes.
3. Process Optimization and Problem Resolution:
   • Identify and address operational challenges or inefficiencies, recommending and implementing process improvements to enhance project flow and compliance with best practices.
   • Assist in the training and development of DUS team members to ensure they are equipped to meet project demands and quality expectations.

Qualifications

Minimum Qualifications

• Fluency in Spanish is required as the role requires communication with Spanish markets & stakeholders, as well as fluency in English as it is the working language.
• 1+ years experience in operation for a tech or social media company data analytic experience.
• Proficiency in data interpretation and analysis; Understanding of AI and Machine Learning concepts, particularly as they relate to data labelling is a plus.
• Excellent verbal and written communication skills for clear and effective communication with both requestors and labelers.
• Strong abilities in simplifying complex instructions and requirements, along with robust experience in training in a technical context.
• Experience in project management with strong organizational skills to manage multiple tasks concurrently, preferably in a data-intensive environment.

Preferred Qualifications

• Strong analytical and problem‑solving skills to identify and resolve issues.
• Strong technical skills in SQL and scripting languages (Python, R) are a plus.