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Data Understanding Specialist - Data Cycling Center - Spanish Market (KL)

TikTok

Data Understanding Specialist - Data Cycling Center - Spanish Market (KL)

TikTok

Kuala Lumpur, Malaysia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave program

Health, dental, and vision coverage

Learning and development stipend

Remote work flexibility

Annual team offsites

Required Skills

SQL

TensorFlow

Airflow

Responsibilities

Team Introduction

Tik Tok 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

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.

Key Responsibilities

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

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

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

  • 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
  • Fresh grad to 3 years experience with data/business analytics education/experience - internships highly valued
  • Proficiency in data interpretation and analysis; Interest in AI and Machine Learning concepts, particularly in the field of data annotation
  • Excellent verbal and written communication skills for clear and effective communication with both requestors and labellers
  • Some experience in project management with organizational skills to manage multiple tasks concurrently, preferably in a data environment
  • Demonstrates learning agility with strong problem solving skills

Preferred Qualifications

  • Strong technical skills in Excel, SQL and scripting languages (Python, R) are a plus
  • Self-starter who is driven to deliver impactful outcomes

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures