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Urgent! Product Data Scientist - Applied AI Job Opening In Singapore, Singapore – Now Hiring TikTok

Product Data Scientist Applied AI



Job description

Responsibilities

  • Data Cycling Center (DCC) is a Data Science team that develops AI-driven content (unstructured data) understanding capabilities, identifies business opportunities from the understanding, and builds products and solutions to capture those opportunities.

  • Our mission is to simplify the acquisition and utilization of unstructured/unlabeled data.

    The team acts as the data modeling factory, using and analyzing mass data and finding useful insights for business growth.

  • As an Applied AI Data Scientist at the Applied AI team, you’ll work at the intersection of data science, algorithm innovation, and content ecosystem research.

    You will collaborate closely with product and algorithm teams to identify actionable insights and build scalable solutions that improve user experience, strengthen content integrity, and support strategic decision-making.

  • Apply data science methods and statistical theory to analyze TikTok's content ecosystem and recommend strategies for improvement.

  • Design and define core KPI metrics that measure the health, stability, and fairness of content systems; evaluate trade-offs across different strategies or product interventions.

  • Use statistical sampling methods to determine appropriate sample sizes and ensure core metric robustness.

  • Build frameworks to assess multi-business content flows, balancing risks from negative content while promoting positive content signals.

  • Conduct quantitative research using causal inference, statistical modeling, and experimentation to detect risks and opportunities in the content ecosystem and propose strategic improvement plans supported by unbiased data-driven indicators.

Qualifications

Minimum Qualifications:

  1. Advanced degree (Master's or Ph.D.) in Statistics, Computer Science, Applied Mathematics, Data Science, or a related quantitative field.

  2. Strong foundation in statistics and A/B testing methodologies, including sampling theory and experimental design of unbiased metrics for business decision-making.

  3. Skilled in key data science tools and techniques, including machine learning models, causal inference, prediction, and optimization.

  4. Proficient in SQL and at least one programming language for data analysis (e.g., Python).

  5. Demonstrated structured thinking and product intuition, with the ability to translate analytical insights into business decisions.

  6. Based on data science methods and statistical theory, collaborate with TikTok content ecology related products and algorithm teams to explore ways to improve user experience.

  7. Strong problem-solving capabilities, with a track record of working effectively in fast-paced and cross-functional global teams with excellent communication and collaboration skills.

Preferred Qualifications:

  • 1-3 years of industry experience in data modeling/analysis and advanced degree in quantitative discipline.

  • Experience with prompt engineering, large language models (LLMs), and emerging AI methods is a plus.

  • Experience in data project management, and solid foundations of maths and algorithms.

  • Excellent communication in English, with the ability to quickly respond to complex projects in collaboration with global stakeholder teams.

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

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Technology, Information and Internet

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Required Skill Profession

It & Technology



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    Unlock Your Product Data Potential: Insight & Career Growth Guide


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