Senior Data Scientist

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, 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 Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. 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 (ML) models to identify and extract valuable business insights/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. Present information using data visualization techniques. Develop classification and regression algorithms using machine learning techniques. Propose solutions and strategies to business challenges.

Qualifications Must have a Master’s degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Bachelor’s degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, 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: 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 machine learning models in Python; and Providing data-driven insights and recommendations to mitigate insufficiencies models based on model performance, regulations, and business requirements. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $176356-$329334 per year To Apply, click the apply button below. Contact lpresumes@bytedance.com if you have difficulty submitting resume through the website. ByteDance Inc. 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 Bytedance, 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. ByteDance Inc. 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 lpresumes@bytedance.com. #LI-DNI #IND-DNI