Data Scientist, Ecommerce - USDS

Position Overview

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.

About TikTok USDS Joint Venture LLC: Dedicated to the safety and security of millions of Americans, we operate under defined safeguards to protect national security and secure U.S. user data. Our shift to a fully in-person schedule underscores our commitment to real-time decision-making, team development, and integrated execution.

Why Join Us: Inspiring creativity is at our core. We create value for our communities while fostering an environment of curiosity, humility, and continuous innovation. Join us to be part of a global team dedicated to making a positive impact.

Diversity & Inclusion: We are dedicated to creating an inclusive space where employees are valued for their skills and experiences. We celebrate diverse voices and strive to create a workplace that mirrors the communities we serve.

USDS Reasonable Accommodation: We are committed to providing reasonable accommodations in our recruitment processes. If you need assistance, please reach out to us.

Key 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 and to measure the lifetime value (LTV) of users
• Cooperate with PM/Ops/R&D and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Required Qualifications

• Master degree or above, majoring in mathematics, statistics, computer science
• Proficient in SQL, Tableau and familiar with Python or R for modeling projects
• 3+ years of working experience in data science and machine learning
• Effective communication skills to present the results of data analyses to stakeholders and drive business impact

Preferred Qualifications

• Ecommerce experience
• Self-driven and able to work with cross-functional teams

Benefits & Perks

• Compensation: The base salary range for this position in the selected city is $136800 - $228000 annually. Compensation may vary based on factors including a candidate's qualifications, skills, competencies, experience, and location. This role may also be eligible for additional discretionary bonuses/incentives and restricted stock units.
• Benefits: 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, and wellbeing benefits. Additionally, they receive 10 paid holidays, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).