Sr Data Scientist, Risk Data Mining
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 Mumbai Singapore Jakarta Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us every challenge no matter how difficult is an opportunity to learn to innovate and to grow as one team. Status quo? Never. Courage? Always.
At TikTok we create together and grow together. That's how we drive impact - for ourselves our company and the communities we serve.
Join us.
The Business Risk Integrated Control (BRIC) team is missioned to:
- Protect TikTok 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 TikTok 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:
- Build rules algorithms and machine learning models to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts fake engagements spammy redirection scraping fraud etc.
- Analyze business and security data uncover evolving attack motion identify weaknesses and opportunities in risk defense solutions explore new space from the discoveries.
- Define risk control measurements. Quantify generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals promote impact-oriented data-driven data science practices for risks.
- Bachelor or degrees above in computer science statistics math internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles).
- Solid data science skills. Proficiency in statistical analytical tools such as SQL R and Python.
- Familiarity with machine learning or social/content online platform analytics. Bonus given to proficiency in modern machine learning applications.
- Ability to think critically objectively rationally. Reason and communicate in result-oriented data-driven manner. High autonomy.
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.
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities pregnancy sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation please reach out to us at
[email protected].
