TikTok Shop - Data Scientist - Recommendation

$153,000 - $332,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

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

About the position

The global e-commerce data science team at TikTok is dedicated to maximizing the efficiency of e-commerce transactions through the application of quantitative techniques, including mathematical statistics and machine learning. This role is pivotal in building a first-class e-commerce platform that not only enhances user experience but also drives business growth. As a Data Scientist in the Search & Recommendation team, you will be at the forefront of exploring opportunities across various domains such as traffic, products, operations, and strategies. Your work will involve utilizing causal inference and machine learning technologies to derive insights that can significantly impact the e-commerce landscape. In this position, you will engage in qualitative and quantitative analysis, model construction, and experimental verification to conduct in-depth special project analyses. Your keen business insight will enable you to provide strategic suggestions that can guide the direction of our e-commerce initiatives. Effective communication with cross-functional teams will be essential as you promote the implementation of strategies and ensure continuous optimization of processes. TikTok values a diverse and inclusive working atmosphere, and as part of this team, you will contribute to fostering an environment where creativity and innovation thrive. We are looking for data scientists who are not only technically proficient but also possess strong communication skills and a proactive approach to work. You should have a sense of ownership and responsibility, along with the ability to work well under pressure. Curiosity and a self-driven attitude are crucial, as you will be expected to embrace challenges and strive for excellence in your contributions to the team.

Responsibilities

• Use causal inference, Machine Learning and other technologies to actively explore opportunities in traffic, products, operations, strategies, etc.
• Conduct qualitative and quantitative analysis, model construction, and experimental verification to complete in-depth special project analysis and provide strategic suggestions.
• Communicate efficiently with cross-functional teams to promote the implementation of strategy application and continuous optimization.

Requirements

• Bachelor degree or above in computer, statistics, data science or related majors; master's and doctoral degrees are preferred.
• Solid foundation in Machine Learning and Statistics, proficient in SQL, Python / R.
• Familiarity with e-commerce search or recommendation strategies; relevant experience is preferred.
• Good communication skills, proactive in work, with a sense of ownership and strong sense of responsibility.
• Ability to work well in a team and under pressure; strong curiosity and self-driving force.

Nice-to-haves

• Excellent communication skills, an open mind, and positive critical thinking.
• Strong driving ability, open and inclusive, with the ability to actively think and explore.
• Willingness to promote change in the e-commerce industry and make complex things bigger and better.

Benefits

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