Responsibilities
Team Intro
The e-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 e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, together we can build an e-commerce ecosystem that is innovative, secure and intuitive for our users.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
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Responsibilities:
• Work with large and complex datasets to solve a wide array of challenging problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our E-commerce product
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
• Develop data pipelines and dashboards to enhance data infrastructure
• Develop ML models to find potential creators, measuring LTV of users, etc
• Cooperate with PM/Ops/R&D and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
• Provide guidance to junior analysts and data scientists
Qualifications
Minimum Qualifications:
- Bachelor degree or above, majoring in mathematics, statistics, computer science is preferred
- Proficient in SQL, tableau and familiar with Python or R for modelling project
- 5+ years of working experience in data science, machine learning
- Self-driven, capable of working independently in a dynamic, fast-paced environment, and delivering projects from end to end
-Effectively communicate and present results of data analyses to stakeholders to drive business impact
Preferred Qualifications
- Ecommerce Experience
- Experience collaborating with cross-functional teams while managing and prioritizing multiple projects
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $167537 - $312866 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.