Machine Learning Engineer (Data Mining) - Global E-Commerce

TikTok Pte. Ltd.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading digital company in Singapore seeks a professional to enhance its e-commerce capabilities through data mining and machine learning. The role involves developing data-driven solutions to improve business outcomes and requires a strong background in data structures, algorithms, and programming languages such as Python or Java. Candidates should also be familiar with data processing technologies and have significant experience in data analysis and machine learning techniques.

Qualifications

• 5 years experience in data structures and algorithms, with machine learning, natural language processing, data mining.
• Familiar with Python, Java, Go, or C++.
• Familiar with data processing technologies (Hadoop, Spark, Hive, Storm, Flink).
• Proficiency in data mining and machine learning tools.

Responsibilities

• Develop data-empowered capabilities for the e-commerce platform.
• Conduct data mining and analysis for e-commerce to support business needs.
• Build data mining pipelines for actionable insights from large data volumes.
• Design algorithms and machine learning techniques to enhance data accuracy.

Skills

Data structures and algorithms

Machine learning

Natural language processing

Data mining

Python

Java

Go

C++

Hadoop

Spark

Hive

Storm

Flink

TensorFlow

Pytorch

Education

B. Sc or higher degree in Computer Science or related fields

Job description

Responsibilities

About The Team 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. Our product engineering team is responsible for building an e-commerce ecosystem that is innovative, secure and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.

• Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs.
• Data mining for e-commerce, building tagging system based on massive data, analysing user, traffic, e-commerce and other data, combining with business to improve GMV.
• Data analysis, mining, model specific productization; understanding of e-commerce business, able to work with PM to continuously optimize data products based on data-driven.
• Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data.
• Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets.
• Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.

Qualifications

Minimum Qualifications

• B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.
• 5 years experience in data structures and algorithms, familiar with one or more: machine learning, natural language processing, data mining.
• Familiar with one of the Python/Java/Go/C++ programming languages.
• Familiar with common data processing technologies (Hadoop, Spark, Hive, Storm, Flink), with demonstrable coding skills.
• Familiar with common data mining techniques and machine learning algorithms (GBDT, Xgboost, FM, DFM, etc.), and familiar with their principles and scope of application.
• Proficiency in data mining, machine learning tools and common frameworks (TensorFlow, Pytorch).

Preferred Qualifications

• Continuous learning, keeping up with the latest research directions and results in the field of machine learning, for the exploration of big data applications in various vertical areas.
• In-depth research experience in analysis and mining of user behaviour data and construction of user portraits.
• Data mining experience in vertical industries (e-commerce, finance, games, travel, real estate, etc.).
• Development and optimisation of advertising and recommendation algorithms.