Data Scientist - TikTok Ads

Responsibilities

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.

- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our ads products
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities
- Inform, influence, support, and execute our product decisions
- Build/maintain reports, dashboards, and metrics to monitor the performance of our products
- Mine massive amounts of data and extract useful product insights
- Manage development of data resources, gather requirements, organize sources, and support product launches

Qualifications

Minimum Qualifications
- 3+ years experience doing quantitative analysis
- BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative field. Advanced degrees preferred but not required
- Fluency in SQL or other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)
- Experience with large data sets and distributed computing (Hive/Hadoop) a plus

Preferred Qualifications:
- 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
- Basic understanding of statistical analysis

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $179200 - $277200 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.

Responsibilities

Responsibilities

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.

- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our ads products
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities
- Inform, influence, support, and execute our product decisions
- Build/maintain reports, dashboards, and metrics to monitor the performance of our products
- Mine massive amounts of data and extract useful product insights
- Manage development of data resources, gather requirements, organize sources, and support product launches

Qualifications

Qualifications

Minimum Qualifications
- 3+ years experience doing quantitative analysis
- BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative field. Advanced degrees preferred but not required
- Fluency in SQL or other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)
- Experience with large data sets and distributed computing (Hive/Hadoop) a plus

Preferred Qualifications:
- 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
- Basic understanding of statistical analysis