TikTok Shop - Data Scientist - Recommendation

TikTok; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A global e-commerce platform is seeking a Data Scientist to enhance e-commerce transactions via quantitative techniques including Machine Learning and statistical analysis. Responsibilities include exploring opportunities across traffic and products, conducting in-depth analyses, and collaborating with cross-functional teams. The ideal candidate has a Bachelor's degree in relevant fields, proficiency in SQL and Python/R, and strong teamwork skills. Join us in creating impactful solutions in a vibrant work environment.

Qualifications

• Bachelor degree or above in computer, statistics, data science or related majors.
• Solid foundation in Machine Learning and Statistics.
• Proficient in SQL, Python / R.
• Familiar with e-commerce search or recommendation strategies.
• Good at communication, proactive in work, and strong sense of ownership.

Responsibilities

• Use causal inference and Machine Learning to explore opportunities in traffic, products, and operations.
• Complete in-depth analysis and give strategic suggestions based on quantitative analysis.
• Efficiently communicate with cross-functional teams for strategy implementation.

Skills

Machine Learning

SQL

Python

R

Statistical Analysis

Cross-functional Communication

Education

Bachelor's degree in computer, statistics, data science or related majors

Master's or Doctoral degree

Job description

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

The e-commerce data science team aims to maximize the efficiency of e-commerce transactions through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more diverse, inclusive, candid and efficient working atmosphere. We sincerely invite excellent data scientists to join us in building a first‑class e-commerce platform.

Responsibilities

• Use causal inference, Machine Learning and other technologies to actively explore opportunities in traffic, products, operations, strategies, etc.
• Through keen insight into the business, Qualitative and Quantitative Analysis, model construction, and experimental verification, complete in-depth special project analysis and give strategic suggestions.
• Efficient communication with Cross‑functional team, promote the implementation of strategy application and continuous optimization.

Minimum Qualifications

• Bachelor degree or above in computer, statistics, data science or related majors, master's and doctoral are preferred.
• Solid foundation in Machine Learning and Statistics, proficient in SQL, Python / R.
• Familiar with e-commerce search or recommendation strategies, relevant experience is preferred.
• Good at communication, proactive in work, have a sense of ownership, strong sense of responsibility, good teamwork ability and pressure bearing ability.
• Have strong curiosity and self‑driving force, like to accept challenges, aim for the Highest.

Preferred Qualifications

• Have excellent communication skills, an open mind, and positive critical thinking.
• Strong driving ability, open and inclusive, with the ability to actively think and explore, with a sense of ownership, and willing to bring positive impact to the team.
• When cooperating with XFN, there is no boundary, Always Day 1. Hope to promote the change of the e-commerce industry, willing to make complex things bigger and better.