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.

About the Team
Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
Provide insights to influence product development using advanced statistics, machine learning (ML), and programming.
Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
Build classification and clustering machine learning models to understand data characteristics.
Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences.
Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
Apply 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.
Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Mentor junior and intern Data Scientists.

Qualifications

Qualifications
Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 2 years of experience in each of the following:
Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and R for metrics creation, root cause analysis, and model preprocessing;
Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, and PostgreSQL;
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and
Building, tuning, and validating statistical models for regression and classification problems in Python and R.

Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $176,356 - $329,334 per year

To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.

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 lpresumes@TikTok.com.

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Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $176356 - $329334 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.