Data Scientist, Game Security

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading tech company in Singapore is seeking a Data Scientist to enhance gaming security through machine learning and data mining. The ideal candidate will have a strong background in Computer Science, proficiency in Python, and experience with machine learning models. This role offers exposure to innovative technologies and a collaborative team environment focused on risk mitigation in gaming.

Qualifications

• Bachelor’s degree or above in Computer Science, Computer Engineering, or related fields.
• Solid understanding of machine learning models and experience with related projects.
• Proficient in Python and at least one big data framework.

Responsibilities

• Conduct data mining and develop machine learning models.
• Analyze user behaviour to design effective security strategies.

Skills

Machine learning

Python

Data mining

Analytical skills

Education

Bachelor’s degree in Computer Science or related fields

Tools

Hadoop

Spark

SQL

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

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 to solve 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.