Data Scientist Manager - Data Cycling Center

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 is actively seeking a Data Scientist to fortify our data management and analytics capabilities. The candidate will play a pivotal role in steering data annotation management, bolstering data analytics support, and adeptly managing stakeholders across various business verticals. This role is vital in enhancing our data-driven initiatives and ensuring impeccable data quality, all while optimizing machine learning performance across all spectrums of the business.

Responsibilities:

  • Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.
  • Develop creative solutions and build prototypes for business problems using algorithms based on machine learning, statistics, and optimization.
  • Automate and scale existing analysis methods. Institute innovative approaches to modeling and analysis frameworks
  • Understand advertiser and creator engagement, build predictive modeling processes, and find stories based on signals of advertiser success or failure/churn
  • Hire, develop, empower, and motivate. Our culture is passionate about rapid iteration with open feedback and healthy debates along the way

Qualifications

Minimum Qualifications:

  • 5 years of experience working with ML/AI
  • 3+ years of experience leading Data Science teams
  • Bachelor's degree in Statistics, Economics, Computer Science, or another quantitative field.
  • Demonstrated excellence in a relevant AI/ML discipline (CV, NLP, ASR, etc.), including experience with ML model building with libraries such as Tensorflow, PyTorch, and OpenAI
  • Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, data products and strategies
  • Knowledge of fundamentals of machine learning, such as algorithm families (regression, classification, unsupervised), A/B testing, hypothesis testing, and optimization

Preferred qualifications:

  • Experience with human-in-the-loop ML, active learning, and data labeling
  • Experience with knowledge graphs and graph databases (e.g., Neo4j, triplestores, ontologies, taxonomies)
  • Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.

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

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Confirmed 8 hours ago. Posted 30+ days ago.

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