Data Scientist (Multiple Positions)

About the role

About ByteDance 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!

Responsibilities Build rules, algorithms, and machine learning models to identify and extract valuable business insights and information from raw data and data sources. Analyze large amounts of information to discover trends and patterns in data through probability and statistical analysis and automate the collection processes. Build predictive models and machine-learning algorithms. Design and monitor core metrics and perform analysis to explain key drivers to inform decision-making. Present information using data visualization techniques. Develop classification and regression algorithms using machine learning techniques. Propose solutions and strategies to business challenges. Collaborate with cross-functional teams to optimize overall project goals.

Requirements Qualifications Must have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Business Analytics, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience, or a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Business Analytics, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience.

Of the required experience, must have 1 year of experience in each of the following: Performing data analysis, data ingestion or data integration; 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; Cleaning and processing data using relational databases or Hadoop Systems; Identifying business problems and proposing growth opportunities with data-driven insights; Designing and maintaining dashboards using visualization tools to visualize key data and insights, track key performance indicators, and provide self-service tools to stakeholders; and Developing and maintaining tables, views, indexes, datasets, or data pipelines to extract, clean, transform, load and maintain data across multiple databases.