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Data Scientist, Global Monetization Strategy & Analytics

TikTok

Data Scientist, Global Monetization Strategy & Analytics

TikTok

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$167,538 - $312,867

Benefits & Perks

Health, dental, and vision coverage

Learning and development stipend

Remote work flexibility

Top Tier compensation with equity

Required Skills

Python

TensorFlow

PyTorch

Data Scientist, Global Monetization Strategy & Analytics

3+ months ago• Seattle, WA
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
Size: 5001-10000 employees

Industry: Entertainment & Gaming, Social Media, Technology

Responsibilities:

We are seeking high-energy individuals that are passionate about working with our unprecedented monetization products, technology and data to bring inspirational research into real world applications, and present them to the senior executive leaders.

  • Responsible for key research and business analysis of Tiktok monetization products. Evaluate business health, identify potential risks and major business opportunities from a global perspective, using statistical analysis, quantitative attribution and other methods.
  • Participate in business goal setting, key direction decision-making and improve internal management efficiency by integrating various data and information based on comprehensive business logic across products, multiple platforms and multiple business forms.
  • From the perspective of Tik Tok's monetization product global optimization and ROI efficiency, plan and establish key research topics. Collaborate with PM, engineering, sales, strategy team and other roles to deliver research results with clear conclusions and implementation plans, provide decision-making references for leaders and achieve data-driven business growth.
  • Design comprehensive metrics framework for Tik Tok's commercial products and key business directions. Provide high-information-density business data insights for leaders.

Qualifications

  • Minimum Qualifications
  • 2-5 years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.
  • Fluency in SQL/Hive, R/Python; experience in using data visualization products; knowledge of quantitative attribution methods.
  • Experience in cross-team cooperation; quickly adapting to complex environments;
  • Strong curiosity; sensitive to data; good at extracting insights from data.

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $167538 - $312867 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.

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Client-provided location(s): Seattle, WA

Job ID: Tik Tok-7298533607739214107

Employment Type: OTHER

Posted: 2024-12-06T13:21:38
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Life Insurance
  • Fitness Subsidies
  • Short-Term Disability
  • Long-Term Disability
  • On-Site Gym
  • Mental Health Benefits
  • Virtual Fitness Classes

Parental Benefits

  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Snacks
  • Pet-friendly Office
  • Happy Hours
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Company Equity

Professional Development

  • Promote From Within
  • Access to Online Courses
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Mentor Program

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

Company Videos

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures