Senior ML Engineer - Data Mining for Ecommerce Insights

TIKTOK PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok is seeking a data-focused engineer/scientist to join our e-commerce data team in building data-driven capabilities for insights, tagging, and productization. You will collaborate with PMs to optimize data products using large-scale data across user, traffic and commerce signals.

Strong background in ML, data mining, and big data processing is required, with experience in TensorFlow/PyTorch and Hadoop/Spark ecosystems. This role focuses on scalable data solutions for e-commerce growth.

Qualifications

• B. Sc or higher degree in Computer Science or related fields.
• 5 years experience in data structures and algorithms, familiar with machine learning, NLP, and data mining.
• Proficiency in Python/Java/Go/C++ and familiarity with data processing technologies (Hadoop, Spark, Hive, Storm, Flink).
• Familiar with data mining techniques and ML algorithms (GBDT, Xgboost, FM, DFM) and their principles.
• Proficiency in data mining tools and ML frameworks (TensorFlow, PyTorch).

Responsibilities

• Develop data-empowered capabilities for the e-commerce platform to extract and apply key insights from large data volumes.
• Perform data mining, build tagging systems, analyze user, traffic and commerce data to improve GMV.
• Analyze data-related business problems and translate into data requirements for implementation.

Skills

Data structures

Algorithms

Machine learning

Natural language processing

Data mining

Data analysis

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Java

Go

C++

Hadoop

Spark

Hive

Storm

Flink

TensorFlow

PyTorch

Job description

TikTok is seeking a data-focused engineer/scientist to join our e-commerce data team in building data-driven capabilities for insights, tagging, and productization. You will collaborate with PMs to optimize data products using large-scale data across user, traffic and commerce signals.

Strong background in ML, data mining, and big data processing is required, with experience in TensorFlow/PyTorch and Hadoop/Spark ecosystems. This role focuses on scalable data solutions for e-commerce growth.