at TikTok
Full TimeTikTok 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
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 Multimedia Data Scientist team is responsible for optimizing app experience related to performance for TikTok users. This team collaborates with teams across the content creation and consumption ecosystem to provide end-to-end, data driven optimization solutions.
We are looking for data scientists who have data mining experience and strong analytical skills to identify high-impact opportunity areas and enable personalized experience. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.
Responsibilities:
1. Develop the experience metric system and the corresponding monitoring capability
2. Conduct experimentation, define launch standards and provide suggestions on experiment iterations
3. Define the data science work plan for a domain/sub-direction of app experience. Uncover and quantify opportunity areas with statistical models as well as visualization. Convert data insights to actionable optimizations.
4. Use data mining for understanding user needs and build models that enable personalized experience
5. Work with various partners to land solutions that meet the needs for evolving products
6. Build systemic problem solving capability and research on cutting-edge methodologies
Minimum Qualifications:
1. 1 year of hands-on experience in developing statistical models and implementing data science solutions
Master or PhD in Statistics, Mathematics or similar field is required
2. Solid skill with the following languages: Python, SQL
3. Experience working with large data sets, familiar with Hive
4. Experience within the entertainment industry, streaming, social applications will be a plus
Preferred Qualifications:
1. hands-on experience in developing statistical models and implementing data science solutions
Master or PhD in Statistics, Mathematics or similar field is required
2. Solid skill with the following languages: Python, SQL
3. Experience working in big-data environment, familiar with Hive, Spark and similar tools
4. Project experience with data mining, machine learning that have made impacts
5. Experience with user oriented solutions. Experience within the entertainment industry, streaming, social applications will be 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 https://shorturl.at/cdpT2
【For Pay Transparency】Compensation Description (annually)
The base salary range for this position in the selected city is $145000 - $250000 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.
