Data Scientist, Product Analytics

3 weeks ago

Mountain View, United States TikTok Full time

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. You will have the exciting opportunity to:- Conduct product analytics to provide product recommendations that drive product growth and nurture a healthy ecosystem- 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 This is an early career opportunity, and we are looking for talented individuals to join us in 2024. 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. 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.

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 AssessmentCandidates who pass resume evaluation will be invited to participate in a technical online assessment through HackerRank.

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