Lead Data Scientist, BRIC Risk Measurement

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 make quick and solid differences.

Responsibilities
- 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. Detect abnormal changes in metrics and be able to build processes to analyze the root cause of such changes;
- Design and build A/B experiments to satisfy various business needs. Build rules and models to respond to and mitigate business risks for different TikTok products. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Own technical measurement and evaluation of the risk level of a specific business area (e.g. short video platform, user growth, live streaming, etc). Define and coordinate planning, execution and generalization of risk solutions. Drive and take responsibility for exercising data science best practices around risk analytics and modeling across all stakeholders. Leverage data to bridge the collaboration between such stakeholders.

Qualifications

Minimum Qualifications:
- Proficiency in data science analytical tools, such as SQL, R and Python.
- Solid experience in leading complex and high impact DS projects. Possess at least one advantage among risk control, statistical problem solving, measurement-and-experiment-driven product iteration. Tracking records of making successful mid/long term technical strategic bets.
- Strong ownership, proactive and skillful communication, ability to handle high complexity, urgency, cross-functional alignment.

Preferred Qualifications:
- Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors.
- 5 years of strong industry experience in relevant data science domains. Example topics include (but not limit to): search and ranking, recommendation, ads/monetization, anti-fraud/abuse, financial risks. Good at telling data stories.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $201000 - $395280 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.