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TikTok Shop - Data Scientist - Creator & Affiliate Job at Tik Tok in Seattle
TikTok Shop - Data Scientist - Creator & Affiliate Job at Tik Tok in SeattleMediabistro • Seattle, WA, United States
TikTok Shop - Data Scientist - Creator & Affiliate Job at Tik Tok in Seattle

TikTok Shop - Data Scientist - Creator & Affiliate Job at Tik Tok in Seattle

Mediabistro • Seattle, WA, United States
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Responsibilities

Our Business Product Data Science team is mainly responsible for product features, strategies, and solutions that are related to the Seller & Creator in TikTok Shop ecosystem. They leverage product analysis, complex experimentation, and modeling to drive business growth and work cross functionally across PM, Engineering, other Data Science teams and others to improve business facing products. Responsibilities : - Develop comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's business products - Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business / user product offerings; - Monitor key performance indicators and develop metrics framework to help measure XFN efforts in a quantitative way; - Conduct A / B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features; - Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth. Provide recommendations for improvements to achieve business goals; - Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.

Qualifications

Minimum Qualifications : - Bachelor degree in Mathematics, Statistics, Computer Science, or Analytics - At least 3 years of Data Science Experience - Product Data Science expertise - Experimentation skillset (A / b test, Causal inference) - Proficient in SQL & Python or R Preferred Qualifications : - Advanced Degree (MS, PhD.) in Mathematics, Statistics, Analytics, etc - Machine Learning modeling skills preferred - Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems; - End-to-end ownership : embrace the ownership mindset - Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges. - Experience with online marketplace or social media highly preferred

Job Information

[For Pay Transparency] Compensation Description (Annually)

The base salary range for this position in the selected city is $167537 - $312866 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 judgement.

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Data Scientist • Seattle, WA, United States

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