Data Science Graduate (Advertisement Team) - 2027 Start (PhD)

Data Science Graduate (Advertisement Team) - 2027 Start (PhD) at TikTok in San Jose, CA.

Responsibilities

• Work with large and complex datasets to solve challenging business problems using a range of analytical methods.
• Design, analyze, and interpret projects end-to-end, from data requirement gathering and data processing to modeling and developing impactful business recommendations.
• Partner with cross-functional teams to identify new opportunities that leverage advanced analytical and modeling techniques.
• Design, execute, and interpret experiments, including A/B testing, to generate actionable insights.
• Communicate insights and recommendations effectively to team leadership and influence strategic decision-making.

Requirements

• Individuals who are completing or have recently completed a PhD degree in a quantitative field, such as Economics, Statistics, Applied Mathematics, Engineering, Computer Science, or Business Analytics.
• Experience with data querying and manipulation using SQL, Python, or R.
• Experience with data analysis using a scripting language such as Python, R, or MATLAB.

Preferred Qualifications

• Internship or project experience in data science.
• Research experience in data science.
• Experience working with cross-functional teams.
• Ability to learn quickly, work independently, and solve problems creatively.
• Strong sense of ownership and ability to translate analytical insights into business impact.
• Strong collaboration and communication skills, with the ability to work effectively in a fast-paced, culturally diverse, and globally distributed team environment.

Job Information

[For Pay Transparency] Compensation Description (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.

About the Company

We're the TikTok Monetization Products Data Science team, enabling and championing data-driven decision-making. Our vision is to become a 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.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Additional Information

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.