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求人TikTok

TikTok Shop - Data Science Specialist - US Logistics

TikTok

TikTok Shop - Data Science Specialist - US Logistics

TikTok

Seattle, WA

·

On-site

·

Full-time

·

2mo ago

報酬

$108,300 - $168,889

福利厚生

Learning

Unlimited Pto

Healthcare

Equity

必須スキル

SQL

PyTorch

TensorFlow

Tik Tok Shop

  • Data Science Specialist
  • US Logistics

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:

About the Team:

The data analytics team will be responsible for data analysis of Tik Tok e-commerce's US ecom logistics operations

Responsibilities:

  1. Responsible for data analysis of Tik Tok e-commerce's US logistics operations
  2. Maintain & improve operation performance index; assist top management to monitor the weekly and bi-monthly operation performance; analyze results using statistical techniques and provide ongoing reports
  3. Cooperate with logistics team to set strategy, e.g. Fulfillment network design, warehouse efficiency optimization, capacity management
  4. Follow-up data analysis of local operation teams in several overseas markets, support operation and provide optimization suggestions
  5. Cooperate with Products and ETL teams to define system requirements, build data products, improve and roll-out product features to support business

Qualifications

Minimum Qualifications:

  • Degree holder in Logistics and Supply Chain Management, Operation Research, Mathematics, Statistics, Analytics, or Computer Science
  • Proficient in SQL and familiar with Python or R

Preferred Qualifications:

-Experience in US logistics or US E-Commerce site fulfillment process (Amazon FBA/SFP; Ebay/Walmart/Shopify) is a strong plus

  • Experience in logistics or supply-chain related analysis; Familiar with fulfillment network design, inventory management, US local logistics carrier optimization.
    -High energy, self-motivation and ability to work independently in a fast-growing environment

**Job InformationFor Pay Transparency Compensation Description (annually)**The base salary range for this position in the selected city is $108300 - $168889 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;

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  1. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

  2. Exercising sound judgment.

Client-provided location(s): Seattle, WA

Job ID: Tik Tok-7485530390025144583

Employment Type: OTHER

Posted: 2025-03-28T00:27:45
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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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