Responsibilities
About the team
The Data Science team of the Tech and Product department at TikTok USDS is responsible for building high-quality and timely data solutions for the business as the single source of truth and for building easy-to-use and scalable data products to support business growth.
We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok USDS.
Please state your graduation date clearly in your resume.
Applications will be reviewed on a rolling basis. We encourage you to apply early.
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In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
You will have the exciting opportunity to:
- Conduct product analytics to provide product recommendations that drive product growth
- Deep dive into data sources, understand their limitations, and communicate complex data insights through exploratory analysis and research to suggest improvement
- Design and monitor core metrics; understand root causes of metric movements
- Design and build advanced analytical solutions and models to deliver superior business outcomes
Qualifications
Minimum Qualifications
- Previous internship(s) or 1-2 years of full-time experience
- Experience with SQL, Python, or R
- BS/MS in Computer Science, Math, Economics, Statistics, or other science and engineering fields
- Self-motivated, detail-oriented, learn autonomously, and highly organized
Preferred Qualifications
- Experience navigating and working with large data sets using SQL
- Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Online Assessment
Candidates who pass resume evaluation will be invited to participate in a technical online assessment through HackerRank.
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.