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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 Global Business Solution (GBS) business needs. The Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. The Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.
About the Role
We are seeking a Data Scientist to lead the development of intelligent decision-making capabilities that enhance operational efficiency, workforce utilization, and task allocation. You will be at the center of a cross-functional initiative to improve how data signals are captured, transformed, and used to guide critical assignments within a scaled delivery framework.
This role requires fluency in building data-driven allocation systems, deep comfort with experimentation and analysis, and the ability to translate real-world challenges into technical solutions using machine learning and statistical modeling.
Responsibilities:
1. Optimization Modelling: Design and develop data-driven models and frameworks that support intelligent assignment, prioritization, and resource utilization across operational workflows.
2. Feature Engineering: Build and maintain pipelines that transform raw signals such as behavioral data, labelling task attributes, and performance metrics into structured features for decision-making.
3. Project Planning and Execution: Develop and manage project plans, timelines, and budgets for data science initiatives.
4. Stakeholder Management: Communicate project progress, challenges, and results to stakeholders and senior management.
Qualifications
Minimum Qualifications:
1. At least 5 years of experience applying machine learning, statistical modeling, or optimization to operational or business challenges.
2. Strong skills in data wrangling, feature development, and exploratory analysis.
3. Proficient in Python and SQL; experience working with large-scale or distributed data systems.
4. Track record of owning end-to-end data projects, from requirements gathering to implementation.
Preferred Qualifications:
1. Background in decision science, resource allocation models, or workflow optimization.
2. Experience working within structured operational environments such as service delivery, content review, or quality control systems.
3. Understanding of experimentation infrastructure, including A/B testing and metric design.
4. Ability to communicate technical insights clearly to both technical and business audiences.
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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Data Science Analyst - ML and Deep Learning (Data Analytics & AI)

Machine Learning Engineer-Fresh-Grad(A29705)

Data Scientist (1-year traineeship programme)

Data Scientist, Operations, Trust & Safety

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

Join as a Data Analysis Assistant and contribute to operational support, data analysis, and stakeholder engagement within a meaningful public sector environment. This role is ideal for diploma holders seeking exposure to analytics, coordination work, and regulatory operations.

• Perform data cleaning and collation across multiple datasets to ensure quality and consistency
• Support the implementation of data analytics and visualisation tools
• Compile and organise daily feedback from operational teams
• Handle various administrative functions, including stakeholder management with licensees and maintaining updated records of accredited establishments
• Coordinate industry engagement activities and support outreach programmes
• Assist with public/stakeholder engagement logistics, including invitation, registration, and follow-ups
• Provide general administrative and project support as required

• Proficient in data analysis tools and software, including:
  
  Microsoft Office Suite (PowerPoint, Excel, Word)
  
  Power BI and Power Query
  
  Knowledge in Python is a plus
• Strong attention to detail
• Excellent time management and ability to prioritise multiple tasks
• Adaptable and flexible with changing work requirements
• Able to work independently and collaboratively
• Good communication skills (written and spoken)

• Gain real-world experience in data operations and stakeholder engagement
• Learn from cross-functional projects within a regulatory and public service context
• Competitive hourly pay with opportunities to grow soft and technical skills

Apply now if you're a proactive, detail-oriented team player looking for short-term meaningful work with real impact.

Job Summary

We are seeking a skilled Data Analyst to join our team. The ideal candidate will have experience in data management, performance reporting, and budget planning.

About the Role

The Data Analyst will be responsible for collaborating with regional stakeholders to collect and analyze KPI metrics data. They will also work with the Data Analytics Team to develop management dashboards for performance reporting purposes.

Key Responsibilities

• Data Management: Collect and analyze KPI metrics data from regional stakeholders.
• Performance Reporting: Develop management dashboards for performance reporting purposes.
• Budget Planning: Manage budgets and forecast future financial performance.

Requirements

1. Diploma/Degree in Business Administration, Banking, or Finance.
2. Minimum 1 year of experience in performance reporting or planning, preferably in the financial industry.
3. Excellent working knowledge of MS Excel.
4. Fast learner with a curious mind and structured approach to task execution.
5. Strong analytical skills and attention to detail.
6. Excellent communication skills with various stakeholders.
7. Good attitude and ability to maintain confidentiality.
8. Strong interpersonal skills and ability to multitask.

About Us

We offer a dynamic work environment and opportunities for professional growth and development. If you are a motivated and detail-oriented individual who is passionate about data analysis, we encourage you to apply.

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Core Responsibilities

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

Responsibilities

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

Job Summary

We are seeking a skilled Data Analytics Professional to join our team. As a key member of the organization, you will be responsible for developing and maintaining profiling tools to support systematic planning and targeted care delivery.

Your expertise in data analysis and reporting will enable you to consolidate and analyze performance indicators related to population health, ensuring accurate and timely insights.

You will also coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics, handling requests for data and analytics with precision.

In this role, you will contribute to projects addressing clinical, preventative, social, environmental, and behavioural determinants of health, providing administrative and operational support as assigned.

Key Responsibilities:

• Develop, maintain, and improve profiling tools to support systematic planning and targeted care delivery
• Consolidate, analyze, and report on performance indicators related to population health
• Coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics
• Handle requests for data and analytics, ensuring accuracy, timeliness, and relevance

Requirements:

· Bachelor's degree in Mathematics, Public Health, Statistics, or related discipline preferred

· Proficiency in Microsoft Office (Word, Excel, PowerPoint) required; experience with analytics and visualization tools (e.g., Tableau, Power BI) is an advantage

This position offers a unique opportunity to work in a dynamic environment, handling survey operations and statistical processes. As a key member of the team, you will be responsible for collecting data through various means, ensuring high response rates and customer satisfaction.