Responsibilities
TikTok-Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.
The primary role of a Data Scientist for our Data team is to conduct deep analysis into user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill growth of TikTok in all different regions.
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Responsibilities - What You'II Do
- Work with large and complex data to solve technical and statistical challenges, and drive business impact.
- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.
- Drive data informed decisions on experiment launches and rigorously measure the impact of product or technical changes.
- Validate hypotheses, identify product growth opportunities, and influence direction for improvement with analyses, experimentation or other scientific methods.
- Partner with engineers and product stakeholders to deliver product insights and strategy.
Qualifications
Minimum Qualifications
- Bachelor's degree in data science, statistics, econometrics, quantitative sociology or a related scientific major, with 2+ years of related work experience.
- Expertise in SQL and programming in Python or R.
- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness.
Preferred Qualifications
- Strong communication and teamwork skills.
- Passion about social products and curiosity to deep dive.
- track record of driving business impact with data insights
- Master or Ph.D. Degree in a quantitative field
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $144000 - $240000 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.