The commerce data science team aims to maximize the efficiency of commerce transactions through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more diverse, inclusive, candid and efficient working atmosphere. We sincerely invite excellent data scientists to join us in building a first-class commerce platform.

What you will do？
1. Develop comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's business/user product;
2. Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business/user product offerings;
3. Monitor key performance indicators and develop metrics framework to help measure XFN efforts in a quantitative way;
4. Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features;
5. Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth. Provide recommendations for improvements to achieve business goals;
6.Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.

Qualifications

1. At least 3 years of working experience in data science, with a bachelor's degree or above, majoring in quantitative field statistics is preferred;
2. Proficient in SQL, Python or R, and expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization;
3. Strong problem-solving and critical-thinking skills;
4. Excellent communication and presentation skills to effectively convey complex data insights to non-technical stakeholders;
5. End-to-end ownership: embrace the ownership mindset;
6. Be proactive: identify potential areas of improvement and take action to address them.

Preferred:
1. Deep knowledge of e-commerce metrics and best practices;
2. Background & experience in business or user product for online marketplace.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ecommerce.accommodations@tiktok.com

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $158755 - $296000 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.