Data Scientist - USDS

- This individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and hearts
- Be constantly curious and continue to pursue in-depth explorations of our datasets and business
- Conduct quantitative analysis, deliver insights, and influence US Safety decision making through understanding of user behavior and safety ecosystem
- Design, execute and analyze experiments to understand the impact of product, model, or operational changes on the business
- Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on
- Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis
- Design and monitor core metrics; perform root cause analysis to explain drivers
- Identify trends and opportunities to drive safety initiatives and create a positive ecosystem for content creators, users, and consumers
- Collect and provide quantitative and qualitative information to measure risk of feature/product launches and answer strategic business questions

Qualifications

Minimum Qualifications
- Ph.D., M.S., or Bachelors degree in Computer Science, Data Science, Mathematics/Statistics and other STEM majors is required
- 4+ of industry experience in data science, data analytics, product analytics, quantitative analysis and machine learning experience to build ML-driven products for solving business problems
- Experience with experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale up
- Experience in utilizing SQL/Python to extract, manipulate, and analyze datasets.
- Experience with creating data visualizations to communicate metric performance.
- Experience with statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms.
- Experience building data infrastructure and implementing reporting solutions

Preferred Qualifications
- Experience with causal inference and quasi-experimental techniques
- Previous experience in data science, data analytics, or product analytics at a consumer technology company, or experience as a Product or Applied Data Scientist
- Passion for social technology products and a curiosity to learn and grow with a fast paced company.
- Your ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role.
- Your resilience and commitment to self-care to manage the emotional demands of the role.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $144000 - $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.

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.

Client-provided location(s): San Jose, CA

Job ID: TikTok-7535209688213686536

Employment Type: OTHER

Posted: 2025-08-07T04:37:22