Senior Data Scientist

Senior Data Scientist - Global E-Commerce (Supply Chain and Logistics) Senior Data Scientist - Global E-Commerce (Supply Chain and Logistics)

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Responsibilities
About the Team
Global E-Commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global E-Commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.
The international supply chain and logistics team integrates logistics, warehousing, transportation and other resources to build a global "goods accessible" network, to provide international e-commerce customers with low-cost, high-efficiency, and high-determinacy supply chain and logistics solutions supporting multiple business models, and enhance consumer experience.
Responsibilities
- Conduct data science and analytics for international e-commerce supply chain and logistics.
- Apply the latest statistics and machine learning methods to merchant and supply chain management to facilitate business growth.
- Work with development, product, and operations teams to optimize supply chain logistics functionalities using statistical or machine learning techniques.
- Analyze and deconstruct the impact of logistics strategies, contributing to data-driven decision-making and capabilities like forecasting and simulation.
Qualifications
Minimum Qualifications
- Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or relevant fields, with 3 years of experience in data mining, machine learning or operational research.
- Proficient in SQL and data analysis/modeling with R/Python. Familiarity with big data technologies like Hadoop, Spark, Hive, and Flink is a plus.
- Knowledgeable in data analytics, mining techniques, and machine learning or optimization algorithms, with an understanding of deep learning principles.
- Strong analytical and problem-solving skills, with the ability to learn quickly and work well in a team.
- Skilled in cross-team collaboration, business acumen, and strong communication, with resilience and interest in new technologies and challenges.
Preferred Qualifications
- Prior experience in supply chain or logistics and practices in big data or algorithm engineering is desirable.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
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.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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