Data Scientist

2 weeks ago


Singapore TikTok Full time
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.

Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

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 Global Business Solution (GBS) 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.

We are looking for talented individuals to join us for this future position in 2024.

As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities.

Co-create a future driven by your inspiration with TikTok.

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 Global Business Solution (GBS) 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.

Responsibilities:

  • Collaborate with crossfunctional teams to define and align AI project goals with business objectives.
  • Create clear and concise documentation for technical and nontechnical stakeholders, outlining AI concepts and results.
  • Demonstrate development tasks and analysis results to Product Owner and other teams effectively.
  • Able to break down sophisticated machine learning model knowledge to digestible information for nontechnical audiences.
  • Develop innovative solutions and define research requirements, technical choices while ensuring scalability, maintainability, and costeffectiveness to solve for project goals.
  • Test and evaluate different AI models and algorithms to determine their effectiveness.
  • Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization methods.
  • Design and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
  • Conduct research to stay updated on the latest generative AI, machine learning, and deep learning advancements and related technologies, and incorporate new ideas and techniques into the team's work.

Qualifications:

Requirements:

  • Coding Proficiency: Strong technical proficiency in at least one of the following programming languages: Python, Java, C++.
  • Machine Learning Knowledge: Familiarity with frameworks (PyTorch) & recent advancements in the AI / ML space (e.g. Diffusion models, LLMs).
  • Effective Communication: Demonstrated strong presentation skills suitable for both technical and nontechnical audiences.
  • Data: Proficient in data analysis, manipulation & visualization.
  • Academic Qualification: Bachelors or Masters in Computer Science, Information Systems, Data Science or related. Suitable applicants pursuing different fields of study will be considered.
  • Internships: Previous experiences related to generative AI, machine learning or data science.
  • Graduates: 02 years of prior fulltime working experience.
  • Problem-

Solving Proficiency:
Exhibit strong problem-solving skills, capable of both independent work and collaborative teamwork.

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
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