Data Scientist, Game Security

ByteDance; Singapore; On-site; SGD 65,000 - 90,000; Full time

Job summary

A leading tech company in Singapore is looking for a skilled professional to enhance security measures in gaming products through data mining and machine learning. Candidates should possess a degree in Computer Science and experience in applying ML models, particularly in Python. Strong analytical skills and familiarity with big data frameworks are essential for this role, along with a proactive attitude towards solving complex problems.

Qualifications

• Solid understanding of various machine learning models.
• Hands-on experience with big data frameworks is essential.
• Proactive and analytical mindset.

Responsibilities

• Conduct data mining and develop machine learning models.
• Collaborate with business units to analyze user behaviour.

Skills

Data mining

Machine learning

Python

SQL

Education

Bachelor’s degree in Computer Science or related fields

Tools

Hadoop

Hive

Spark

Flink

Job description

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.

As ByteDancers, 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. 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

Diversity & Inclusion

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

About the Team

Our team is committed to building comprehensive gaming security systems to cover and solve various security risks in the entire lifecycle of game development and operation. Rooted from years of experience in fighting underground hackers, we offer professional products, solutions and services to create excellent gaming experience for our players.

Responsibilities

• 1. Conduct data mining and develop machine learning models to address security risks in gaming products, including account security (e.g., fake accounts, account takeovers), anti-cheat systems, and anti-studio measures.
• 2. Collaborate closely with business units to analyze user behaviour and design effective security strategies to mitigate gaming-related risks.

Minimum Qualifications

• 1. Bachelor’s degree or above in Computer Science, Computer Engineering, Information Systems, or related fields.
• 2. Solid understanding of machine learning models such as classification, clustering, image processing, and deep learning; proven experience with related projects is a strong advantage.
• 3. Proficient in Python, with hands‑on experience in at least one big data framework (Hadoop, Hive, Spark, or Flink); skilled in SQL/HSQL.
• 4. Proactive, analytical, and able to work independently complex problems; eager to learn and explore emerging technologies.

Preferred Qualifications

• 1. Familiar with security strategies and practices; prior experience in risk control is highly desirable.
• 2. Experience in AI/LLM technologies is a plus.