Responsibilities
About the team The Multimedia Data Scientist team at TikTok focuses on optimizing the app experience for users through data-driven solutions. Collaborating with various teams to enhance content creation journeys, utilizing statistical models and data mining techniques to identify opportunities for personalized user publishing experiences. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities - Develop the experience metric system and the corresponding monitoring capability across different stages of creation - Conduct experimentation, define launch standards and provide suggestions on experiment iterations - Quantify the impact of creation tool performance on user behavior, such as publish rate, retention, and engagement - Use data mining for understanding user needs and build models that enable personalized publishing experience - Work with various partners on landing solutions that meet the needs for evolving products - Build systemic problem solving capability and research on cutting-edge methodologies
Qualifications
Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's degree in data science or a related discipline. - Experience in working on mobile application performance analysis and user experience optimization - Experience working with creation-oriented user behavior - Proficient in SQL and Python; experience with big data tools such as Hive or Spark. - Strong background in A/B testing, metric design, and causal inference. Preferred Qualifications: - Experience within the entertainment industry, streaming, social applications. - Experience working in a fast-paced environment with rapid product iterations. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $95000 - $216000 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.
