Singapore Jobs Lead Data Scientist, Risk Data Mining, Bric – Singapore Position at TikTok

Job Info

Company	TikTok
Position	Lead Data Scientist, Risk Data Mining, Bric - Singapore
Region	Singapore
Career Level	Senior Executive
Work Experience	3 years
Qualification	Bachelor's Degree, Master's Degree, Post Graduate Diploma, Professional Degree
Type of Work	Full-Time
Minimum Salary	SGD 2.000
Maximum Salary	SGD 5.700

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire – for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

The Business Risk Integrated Control (BRIC) team is missioned to:

• Protect ByteDance users, including and beyond content consumers, creators, advertisers;
• Secure platform health and community experience authenticity;
• Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.

The BRIC team works to minimize the damage of inauthentic behaviors on ByteDance platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.

In this team you’ll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles — You’ll be part of a team that’s developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities

• Enable and contribute to establishing fast and continuous threat response, in partnership with risk data mining engineers and product partners, by building advanced analytical tools and derive data insights.
• Analyze security and product data to uncover latest attacker techniques and abuse vectors. Generalize them into data mining opportunities in product features; modeling signals, labels and algorithms; measurement and process effectiveness.
• Enable and contribute to establishing robust, powerful and privacy-aware automated defense, in partnership with risk data mining engineers, by leveraging risk systems, machine learning tools and business resources to build and improve risk control rules, models and products.
• Abstract and build risk measurements that best connect risk research, risk operation, risk defense and business/community health with data stories, drive strategic and tactical risk control roadmaps with such metrics collaboratively with product/business/engineering stakeholders.
• Uphold adversarial threat response in a specific business area (e.g. TikTok, growth, live streaming, ads, e-commerce, Lark) to be consistently prompt, rigorous and clean. Define and uphold data science practice excellence and metric-driven decision making process. Bridge technical and communication gaps between engineering, product and business teams.

Qualifications

• Bachelor, master or PhD degree in an advanced field of technology or management or other equivalent majors. E.g. Computer science, statistics, internet security, finance.
• Proficiency in data analysis and statistical analysis tools such as SQL, R and Python.
• 4+ years of strong industry experience in predictive analytics and/or statistical modelling. Successful tracking records in solving large scale data mining problems such as relevance, recommendation, anti-fraud and relevant financial problems.
• Strong technical leadership combined with hands-on data mining and machine learning application experience, and passion to work with ByteDance’s data scale and business complexity. Be able to identify, plan and lead to execute both quick win tactics and long term strategies against abusers on our platforms.
• Strong ownership, communication and collaboration skills to end-to-end own one or more critical platform/community security business fronts that are highly adversarial, ever expanding, and by nature widely cross functional.

Preferred

• Experience in risk analytics in multiple areas: account takeover, fraud, spam, abuse and etc. OR strong experience in data/statistical analysis on general internet or financial business. OR deep understanding about modern Machine Learning theory, applications, industry best practice.
• Consistency at exercising data science best practice in modern internet industry or academic world. Persistence in reasoning with data, interpreting data objectively, and making data-driven decisions.
• Minimum 3 – 5 years relevant work experience from a large-scale internet business

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

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Company Description

Company Info

• Industry: Computer / Information Technology (Software)
• Registration No.: 201719908M
• Company Size: 51 - 200 Employees
• Average Processing Time: 30 days
• Benefits & Others: Dental, Education support, Medical, Vision, Regular hours, Mondays - Fridays, Casual (e.g. T-shirts)