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TikTok

Data Scientist-TikTok Ads, Brand Innovation

San Jose$179,200 – $277,200Posted Jul 24, 2024

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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.

The Brand Innovation team focuses on branding advertising, Spark Ads and innovative ad formats. We provide branding solutions including common brand ad products (e.g., Reach & Frequency, Brand Auction) and brand ad products that are unique to TikTok (e.g., Hashtag Challenge, Branded Mission). Spark Ads is a native ad format that enables advertisers to leverage organic TikTok posts and their features to advertise for both brand campaigns and direct response campaigns. As a data scientist on the Brand Innovation team, we partner with product managers, engineers and other cross-functional teams in the product journey, providing data insights that support and lead the product incubation and continued growth.

Responsibilities
- Inform, influence, support, and execute our product decisions through data.
- Apply your expertise in quantitative analysis, data mining, and data presentation to see beyond the numbers and understand how our customers interact with our brand ads products.
- Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities. Help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Guide the teams throughout the product journey using data and insights.
- Collaborate with data engineering 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 strategies for our products that serve billions of people and millions of businesses.

Qualifications

Minimum Qualifications
- 3+ years experience doing quantitative analysis.
- BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative fields. Advanced degrees are preferred.

Preferred Qualifications:
- Sustained track record of driving business value and improving product with data insights, especially in advertising, growth, marketing or relevant domains.
- Fluency in SQL and one other programming language (Python, R, etc.) for data manipulation and data modeling.
- Strong ability to initiate and drive projects to completion with minimal guidance.
- Strong communication skills to present analysis results to technical and non-technical audiences in a clear and effective manner.

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

Qualifications

Qualifications

Minimum Qualifications
- 3+ years experience doing quantitative analysis.
- BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative fields. Advanced degrees are preferred.

Preferred Qualifications:
- Sustained track record of driving business value and improving product with data insights, especially in advertising, growth, marketing or relevant domains.
- Fluency in SQL and one other programming language (Python, R, etc.) for data manipulation and data modeling.
- Strong ability to initiate and drive projects to completion with minimal guidance.
- Strong communication skills to present analysis results to technical and non-technical audiences in a clear and effective manner.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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