Responsibilities
About the Team TikTok Live Data Science team is responsible for Live growth, ecosystem and revenue strategy analytical work. We work closely with Algorithm team and Product team. The goal of the team is to generate actionable insights from data, driving Live to create an environment that brings communities together in real time to create meaningful and interactive connections around the globe. Our main tasks include metrics defining, root cause analysis, experimentation methodology, strategy evaluation and exploratory analysis to find more opportunities. 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 - What You'II Do - Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc.. - Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements. - Conduct scientific evaluation with statistical methods, including A/B testing and casual inference. - Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement. - Research data science theories and methodology, improve analysis efficiency and data product tools.
Qualifications
Minimum Qualifications - Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Data Science or a related discipline. - Expertise in SQL - Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges. Preferred Qualifications - Experience of LIVE related business. - Knowledge of machine learning and recommendation systems. - Experience programming with Python or R.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $95000 - $168000 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.
