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求人TikTok

Data Science Manager - TikTok Ads

TikTok

Data Science Manager - TikTok Ads

TikTok

Seattle, WA

·

On-site

·

Full-time

·

2mo ago

報酬

$227,240 - $459,040

福利厚生

Unlimited Pto

Equity

Healthcare

必須スキル

TensorFlow

Airflow

Python

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

View Company Profile

Responsibilities

About The Tiktok Monetization Product Data Science 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.

Responsibilities:

  1. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  2. Build and manage high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space

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  1. Build and prototype analysis pipelines for the team to provide insights at scale4. Develop comprehensive knowledge of Tiktok data structures and metrics, advocating for changes where needed for product development5. Develop deep partnerships with engineer and product teams to deliver on major cross-functional measurements, testing, and modeling efforts6. Partner with Data Engineering to ensure the data accuracy and consistency Qualifications

Minimum Qualifications:

  1. MS or PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics, etc.
  2. many years of experience in data science, algorithmic engineering, or machine learning
  3. 3+ years of experience in managing and mentoring data science, data engineering, and analytics teams in a technology company
  4. Experience with statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL)
  5. Experience building data science models (Regression, Decision Trees, K-Means, etc.)

Preferred Qualifications:

  1. Experience with large data sets and analytical tools, e.g. Hive, Spark
  2. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
  3. Demonstrated skills in selecting the right statistical tools given a data analysis problem.

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $227240 - $459040 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.

Client-provided location(s): Seattle, WA

Job ID: Tik Tok-6977206774159984904

Employment Type: OTHER

Posted: 2024-12-06T13:21:39
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

Hear directly from employees about what it is like to work at Tik Tok.

Apply on company site

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TikTokについて

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

従業員数

Los Angeles

本社所在地

$220B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.9

68%

友人に勧める

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

給与レンジ

49件のデータ

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1件のレポート

$273,000

年収総額

基本給

$210,000

ストック

-

ボーナス

-

$273,000

$273,000

面接体験

2件の面接

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit