About The Team

We're the Tik Tok 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 Tik Tok through data science.

Ads Targeting, Auction and Delivery are the key parts of Tik Tok online advertising platform - an automatic system that optimizes which ads to display to users and determines how much advertisers should pay for them. The successful candidate will gain an understanding of the data science techniques to power Tik Tok monetization and drive meaningful improvements in ads targeting and ranking models.

Responsibilities

• Inform, influence, support, and execute our product decisions through data.
• Research applied data science questions in our ads system to improve prediction accuracy, develop data-driven go-to-mark strategies, and drive advertiser value.
• Work closely with engineering and product teams to develop hypotheses, run experiments and prototype new product ideas.
• Collaborate with data engineering teams to build/maintain reports, dashboards, and metrics to monitor the performance of our products, provide insights and identify new opportunities.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop an understanding of the ads targeting/auction/delivery system, analyze current performance and identify opportunities to improve the system.

Qualifications

Minimum Qualifications

• 5+ years of experience working in an analytics organization, ideally in Tech industry leading companies, especially in the advertising area
• Ads or Advertiser or Agency experience
• Advanced degree (PhD, MS or BS) in Statistics, Mathematics, Economics, Computer Science or other quantitative fields
• Sustained track record of driving business value and improving product with data insights, especially in advertising, growth, marketing or relevant domains.
• Experience with ML and statistical knowledge, fluency in Python, SQL, Scala or other programming languages.
• Be intellectually curious, a great communicator, data-driven, a fast learner and able to move fast while keeping focused on high impact projects

Compensation

The base salary range for this position in the selected city is $176,356 - $329,334 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

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
• 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.

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.