Responsibilities
Team Intro:
CapCut is an all-in-one video editing app that empowers creators to express themselves and transform videos into creative masterpieces. In addition to its basic features, such as video editing, text, stickers, filters, colors and music, CapCut offers free advanced features, including keyframe animation, smooth slow-motion effects, chroma key, Picture-in-Picture (PIP), and stabilization to help you capture and snip moments.
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.
Want more jobs like this?
Get jobs in San Jose, CA delivered to your inbox every week.
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.
Responsibilities:
Responsibilities:
- Work with large and complex datasets to solve a wide array of challenging problems using different analytical and statistical approaches
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our E-commerce product
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
- Develop data pipelines and dashboards to enhance data infrastructure
- Develop ML models to find potential creators, measuring LTV of users, etc
- Cooperate with PM/Ops/R&D and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Qualifications
Minimum Qualifications:
- 3+ years of full-time experience with a BS/MS in Computer Science, Math, Economics, Statistics, or other science and engineering fields
- Experience with SQL, Python, or R
- Experience navigating and working with large data sets using SQL
Preferred Qualifications:
- Self-motivated, detail-oriented, learn autonomously, and highly organized
- Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $144000 - $329333 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.