TikTok

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.

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

TikTok's Data Cycling Center Team focuses on building content, understanding, and providing data-driven solutions for both internal stakeholders and tools for external users. We focus on both delivering human understanding and direct content understanding helping solve large impact problems from that understanding.

Responsibilities

The Senior Data Scientist will assume a hands-on and multi-faceted role within our international organization, navigating through complex data labeling processes and extensive stakeholder management to comprehend and address diverse needs. Key responsibilities include:

• Advanced Project Management: Direct and coordinate projects, orchestrating efforts across a large, interdisciplinary team of researchers, product managers, and data labelers, ensuring timely and efficient execution of tasks.
• Clarification and Simplification of Product Requirements: Diligently comprehend product needs, drive clear communication, and decompose technical tasks into more manageable units, ensuring a smooth execution path.
• Machine Learning Model Development: Conceptualize and develop advanced machine learning models aimed at optimizing the output of labelers, focusing on enhancing both the speed and quality of the labeling process.
• Collaborative Experimentation and Documentation: Work in tandem with various teams to formulate meticulous experiment plans, documenting results with utmost precision, and patiently addressing inquiries from both technical and non-technical stakeholders.

In this role, meticulous attention to detail, robust problem-solving abilities, and a proclivity for collaborative engagement with both technical and non-technical stakeholders are paramount. The Data Scientist will be pivotal in amplifying the efficacy of our data labeling processes, driving both strategic and operational advancements within the team.

Qualifications

Minimum Qualifications:

• Bachelor's/Master's degree in Computer Science, Computer Engineering, or other relevant majors.
• Five years of experience building complex, large-scale NLP (Natural Language Processing) systems
• Communication Mastery: Demonstrates exceptional written and spoken communication prowess, with a proven ability to effectively interface with business stakeholders and international teams, conveying complex, data-driven narratives clearly and compellingly.
• Strategic Interpersonal Skills: Displays formidable interpersonal skills, embodying an ability to seize new opportunities, be able to set product directions strategically, ignite innovative ideas, and marshal support to bring products from conceptualization to realization.
• Practical ML Solutions Development: Boasts significant, hands-on experience in crafting Machine Learning solutions that address real-world business challenges, paired with proficiency in ML fundamentals such as diverse algorithm paradigms (including supervised, unsupervised, and reinforcement learning), evaluation methodologies, optimization techniques, and sampling strategies.
• Python Proficiency: Possesses intermediate-to-advanced skills in Python programming, showcasing the ability to develop and implement robust data science solutions.
• SQL and Data Modeling Expertise: Demonstrates intermediate-to-advanced proficiency in SQL, databases, and general data modeling, ensuring structured, efficient, and scalable data management, and leveraging data to inform strategic decision-making.

Preferred qualifications:

• PhD in Computer Science, Computer Engineering, or other relevant majors
• 4 years of experience working cross-functionally to successfully deliver complex projects

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2