Senior Data Scientist, Ecommerce - USDS

$176,355 - $329,333/Yr

Tiktok - Mountain View, CA

Full-time - Senior

Mountain View, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., created to enhance focus and governance on data protection policies and content assurance protocols to ensure the safety of U.S. users. Our commitment is to provide oversight and protection of the TikTok platform and U.S. user data, allowing millions of Americans to continue using TikTok for learning, earning, expressing creativity, or entertainment. The teams within USDS, including Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions, work daily to uphold this commitment. The e-commerce industry has experienced significant growth, and TikTok aims to leverage its platform to deliver an innovative e-commerce experience. We are seeking passionate and talented individuals to join our product and operations team to build a secure and intuitive e-commerce ecosystem for our users. Our organization follows a hybrid work schedule, requiring employees to work in the office three days a week, with flexibility based on departmental needs. As a Senior Data Scientist in the e-commerce division, you will work with large and complex datasets to tackle various analytical challenges. Your role will involve applying your technical expertise in quantitative analysis, experimentation, and data mining to develop strategies for our e-commerce product. You will also be responsible for measuring the success of product initiatives, defining opportunities for improvement, and collaborating with cross-functional teams to inform and execute product strategies. Additionally, you will guide junior analysts and data scientists, contributing to the overall growth and success of the team.

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

Requirements

• 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
• At least 5 years of working experience in data science, machine learning (experience in E-commerce preferred)
• 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
• Experience collaborating with cross-functional teams while managing and prioritizing multiple projects

Benefits

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through EAP and Lyra
• 401K company match
• Gym and cellphone service reimbursements