Lead Data Scientist - Live Streaming & RTC Products (Multiple Positions)
About The Position
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day. As ByteDancers, 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. 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. About the Team Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey!
Requirements
- Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Statistics (any), Analytics, Data Science, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Statistics (any), Analytics, Data Science, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience.
- Of the required experience, must have 2 years of experience in each of the following:
- Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and/or R for metrics creation, root cause analysis, and model preprocessing;
- Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification;
- Analyzing large quantities of data to detect anomalies using Python and statistical analysis techniques;
- Developing and maintaining tables, views, indexes, datasets, and/or data pipelines to extract, clean, transform, load and maintain data across multiple databases; and
- Providing data-driven insights and recommendations to mitigate insufficiencies models based on model performance, regulations, or business requirements.
Responsibilities
- Own and conduct data analysis related to live streaming and real-time communication (RTC) products.
- Ensure data quality by monitoring event tracking quality, participating in event tracking design reviews, and collaborating with the data engineering team.
- Build efficient data ETL processes and maintain data SLAs.
- Develop and maintain a comprehensive live streaming and RTC-related metrics system, including defining indicators, building dashboards, ensuring stability and availability, and conducting root cause analysis for metrics.
- Perform data analysis based on business requirements, support data analysis for special projects, and provide ongoing data analysis support.
- Support A/B testing initiatives by optimizing A/B testing processes, producing Libra indicators, providing attribution analysis, and generating A/B testing conclusions and reports.
- Drive business growth by identifying data optimization opportunities, providing optimization suggestions, and delivering tangible benefits.
- Develop and refine optimization methodologies over time.
- Collaborate with cross-functional teams, such as Product Management, Research and Development, and Technical Support, to identify and resolve online issues.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
5,001-10,000 employees
