About the job
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. 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.
Responsibilities
Provide insights to influence product development using advanced statistics, machine learning, and programming.
Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
Build classification and clustering machine learning models to understand data characteristics.
Visualize and synthesize analytics and statistical approaches into easy to consume storylines for the team to provide indicated actions for executive audiences.
Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for the company’s products.
Interact cross-functionally, making business recommendations with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Mentor junior and intern Data Scientists.
Qualifications
Minimum
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 2 years 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 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 language SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing;
Using SQL or Spark to query, explore, and manipulate data from Apache Hive and relational database management system including MySQL, Microsoft SQL Server, or PostgreSQL;
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and
Building, tuning, and validating statistical models for regression and classification problems in Python or R.
Preferred
No preferred qualifications listed.