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
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, , 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 (.
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.
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