Responsibilities
The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better commerce experience to our users.
The Global e-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more inclusive, honest and efficient working atmosphere, and sincerely invite outstanding data scientists to build a first-class e-commerce platform.
Want more jobs like this?
Get Data and Analytics jobs in Seattle, WA delivered to your inbox every week.
Responsibilities:
1. Develop a comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's business/user product;
2. Collaborate with the product team to identify growth drivers and develop a quantitative measurement approach;
3. Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth Provide recommendations for improvements to achieve business goals;
4. Seek insights and scale insights through developing systematic and comprehensive data solutions;
5. Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.
Qualifications
Minimum Qualifications:
- Masters degree or above, major in mathematics, statistics, computer science is preferred; or major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation;
- At least 3 years of working experience in data science track, and background & experience in business product/short videos/ ecommerce preferred;
- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling;
- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice
Preferred Qualifications:
- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;
- End-to-end ownership: embrace the ownership mindset
- Be proactive:identify potential areas of improvement and take action to address them;
-Have a strong learning ability and curiosity; Quickly familiar with and starting a new business; Can lead a small project team to support business;
- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $158000 - $295000 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.