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, 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.
Want more jobs like this?
Get Data and Analytics jobs in San Jose, CA delivered to your inbox every week.
Join us.
We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science.
Lead Ads team is part of the TikTok Monetization Product organization and is responsible for building lead generation solutions that enable businesses to create seamless interactions with their customers while ensuring our community feels comfortable and safe on the platform. As DS supporting this business domain, we focus on tackling a wide range of topics such as advertiser growth, ad delivery optimization and new product solutions.
Responsibilities
- Inform, influence, support, and execute our product decisions through data
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond numbers and understand how our customers interact with our ads products
- Help your partner teams prioritize what to build, set goals, and understand their product's ecosystem
- Partner with Product, Engineering, Marketing and other teams to solve problems and identify trends and opportunities
- Collaborate with data engineering to build/maintain reports, dashboards, and metrics to monitor the performance of our products and identify insights
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and millions of businesses
Qualifications
Qualifications
- 3+ years experience in quantitative analysis.
- BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative fields. Advanced degrees are preferred but not required.
- Sustained track record of driving business value and improving product with data insights, especially in advertising, growth, marketing or relevant domains.
- Fluency in SQL or other programming languages (Python, R etc) for data manipulation.
- The ability to initiate and drive projects to completion with minimal guidance.
- The ability to communicate the results of analyses in a clear and effective manner.
- Experience building up a team or mentoring other DS is a plus.
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 tt.accommodations@tiktok.com
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $201000 - $395000 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, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.
Our time off and leave plans are: 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.
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. 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.