Data Scientist, Data Analysis (Multiple Positions)

ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation 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 TeamOur 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- Leverage sophisticated data gathering, processing and analysis techniques to perform exploratory and predictive data analysis.- Design A/B tests and conduct analyze results using statistical, inference and casual analysis techniques and methodologies.- Build data pipeline using data processing tools such as Hive, and process data using tools such as R, Scala, SQL and Python.- Analyze user data and user behaviors and provide insights to influence product development.- Process and analyze data in Hive, Hadoop, relational databases and data warehousing.- Build classification and clustering machine learning models to understand user characteristics.QualificationsQualificationsMust 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 3 years 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 5 years of post-bachelor's, progressive related work experience.Of the required experience, must have 2 years of experience in conducting exploratory and predictive analysis using Python, R, and Scala programming languages.Of the required experience, must have 1 year of experience in each of the following:- Designing A/B tests, conducting statistical analysis, and interpreting A/B test results to provide insights for product features;- Cleaning and processing data using relational databases and Hadoop Systems; and- Building clustering and classification machine learning models.Type: Full time, 40 hours/weekLocation: San Jose, CASalary Range: $172057 to $240000 per yearTo Apply, click the apply button below. Contact [redacted] if you have difficulty submitting resume through the website.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 lpresumes[redacted]#LI-DNI#IND-DNI