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.
About the team
PDPO (Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry-leading way. This team is the expert in the landscape of privacy risks and is passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users’ privacy is honored across TikTok's products and platforms.
About the role
The Data Scientist will lead programs to solve complex problems and deliver insights on trends as well as provide mentorship to other data scientists/analysts on the team. You will utilize data-driven techniques in building solutions to help measure, validate, identify, and envision TikTok's privacy evolution. You will design and scope out projects, build operationalized analytics tools and platforms, and most importantly, use data to find insights, diagnose problems and tell compelling stories. Besides the technical side, you will also get the opportunity to work closely with various XFN teams, including but not limited to legal, audit, security, public and government relations, and product. You will be expected to build deep domain knowledge from your day-to-day work and build strong domain expertise in privacy.
- Use data to conduct impacted user and root cause analysis in privacy incidents, and suggest potential opportunities for privacy gaps and improvements.
- Conceptualize, develop, and maintain dashboards for risk detection and monitoring.
- Collaborate with members of XFN teams (e.g., domain experts, engineers) and provide data analysis on various privacy projects.
Qualifications
- Bachelor degree in Mathematics, Statistics, Science, Engineering, Business, or similar
- 3+ years of experience in data analysis and statistical analysis tools such as SQL, R, or Python
- Strong analytical and reporting skills. Experience with data visualization tools or platforms (e.g., Dashboards, Tableau, etc.)
- Strong communication skills, written and verbal; ability to present data and its implications in a clear, concise manner
Preferred Qualifications
- Advanced degree in Mathematics, Statistics, Science, Engineering, Business, or similar
- Experience leading complex programs and teams
- Data pipeline or cloud engineering experiences
- Familiarity with common Machine Learning application knowledge is a plus
Job Information:
The base salary range for this position in the selected city is $144,000 - $240,000 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.
Our company benefits are designed to convey company culture and values, create an efficient and inspiring work environment, and support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
- 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account (HSA) with a company match.
- Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
- 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
- Mental and emotional health benefits through our EAP and Lyra.
- A 401K company match, gym and cellphone service reimbursements.