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Open nowFirst seen 2 hours ago

Data Scientist, PGC Traffic Strategy and CRP - TikTok

TikTok4,281 open roles

Where
San Jose, California, United States of America
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Your applicationOpen nowData Scientist, PGC Traffic Strategy and CRP - TikTokTikTok · San Jose, California, United States of America

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on TikTok's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. TikTok postings stay open a median of 12 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.8%30 days
This job: first seen 2 hours ago

TikTok median: 12 days open

The posting

PGC (Professionally Generated Content) is one of TikTok's key business directions. It satisfies users' differentiated consumption demands by providing professional content. The PGC business is divided into several core modules, including creator growth strategies, posts and content management tools, content distribution strategies, and creator monetization strategies.

The primary role of a Data Scientist for our Data team is to conduct deep analysis into user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill growth of TikTok in all different regions.

Responsibilities - Collaborate with MLE to enhance the efficiency of the recommendation system and improve user experience. - Utilize data science methods to assess the creator rewards program's progress and develop new strategies. - Develop experimental methodologies to evaluate the impact of two-sided market dynamics. - Create a metrics framework to monitor product health, track core metrics, and identify the root causes of metric changes. - Utilize causal inference and discovery to evaluate causality in non-experimental contexts.

Minimum Qualifications: - Bachelor's Degree in data science, statistics, econometrics, math or a related scientific major, with 2+ years of related work experience. - Expertise in SQL and programming in Python or R. - Excellent analysis skills with good communication skills. - Strong logical and quantitative skills, with practical experience in recommendation systems.

Preferred Qualifications: - Strong communication, teamwork skills, self-driven and self-learning ability. - Passionate about content products and curiosity to deep dive. - Experience in content products, content management tools, and creator management strategies. - Experience operating accounts on social media and content platforms.

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