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Data Scientist - Search Optimization Job Opening In Singapore, Singapore – Now Hiring TikTok


Job description

About Data Cycling Centre AI is the new electricity and data is the energy for AI.

Our core belief is that unstructured data contains the untapped wisdom of humanity — and by building the best AI-ready data infrastructure, we enable more meaningful, responsible, and creative uses of AI.
Data Cycling Center (DCC) is a Data Science team that is responsible for building the mid-platform data layer that powers AI development across all business lines of TikTok, including e-commerce, advertising, livestreaming, and emerging technologies.

Our initiatives include:
- Scaled human-in-the-loop (HITL) data processing (including capability, methodology, E2E process, platform), delivering the most cost-effective results at benchmark quality levels that outperform leading tech peers.
- Built a highly automated end-to-end data pipeline for AI-generated content (AIGC) that supports strong model performance with minimal resource input.
- Develop a comprehensive content understanding and insight generation system, setting new benchmarks for marketing intelligence in the online ads ecosystem.

DCC aims to be the number 1 data service provider in the AI era.

Our mission is to build the most effective (lossless and affordable) content understanding capabilities to fully satisfy AI needs of TikTok and to help the industry push the limit.

About the Team
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
As a Search Optimization Data Scientist, you will leverage advanced data analysis, machine learning, and statistical modeling techniques to improve our search engine performance.

Your insights will directly influence our search algorithms, content ranking, and user experience, ensuring our platform remains competitive and highly relevant for users.

Responsibilities
1.

Analyze large-scale search data to identify patterns, trends, and areas for improvement.
2.

Develop and implement machine learning models to enhance search relevance and ranking.

Collaborate with engineering, product, and content teams to optimize search algorithms and features.
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.

Innovate across multiple different data product types to reduce cost and increase impact;
6.

Utilize experience to recommend the right machine learning techniques to the appropriate business use-cases;
7.

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 optimisation 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.



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 (., Java, C/C++, Python);
3.

Proven experience in search engine optimization, information retrieval, or related areas.
4.

Familiarity with search engine algorithms, ranking models, and relevance tuning.
5.

Experience in data analytics and data visualization.
6.

Excellent proficiency in both written and spoken English along with the ability to communicate complex insights to technical and non-technical stakeholders.

Preferred Qualifications
1.

Experience in client facing roles/consulting preferred.
2.

Experience collaborating with cross-functional and global teams.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Singapore, Singapore, highlighting market share and opportunities for professionals in Data Scientist roles.

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Are You Looking for Data Scientist Search Optimization Job?

Great news! is currently hiring and seeking a Data Scientist Search Optimization to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TikTok adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Scientist Search Optimization Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist Search Optimization?

Key qualifications for Data Scientist Search Optimization typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Data Scientist Search Optimization, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Scientist Search Optimization Job Success

TikTok interview tips for Data Scientist   Search Optimization

Here are some tips to help you prepare for and ace your Data Scientist Search Optimization job interview:

Before the Interview:

Research: Learn about the TikTok's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist Search Optimization interview at TikTok, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TikTok's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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