Singapore, Singapore
February 11, 2022
Apply NowJob description
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
About the TikTok Monetization Product Data Science team:
The TikTok Monetization Product Data Science team plays a critical role in driving initiatives to ensure efficient and healthy monetization through Ads and Commerce ecosystems.
You will work on an exciting array of newly launched or in-the-pipeline advertising platforms such as Livestream and E-Commerce.
Responsibilities:
1. Develop end to end analysis framework and distill replicable methodology to evaluate and improve Ads & E-Commerce ecosystem to ensure healthy as well as maximal monetization;
2. Liaise with multiple stakeholders across inter-functional teams to get buy-in and land above framework and co-create actionable, divisible improvement plans;
3. Build and maintain pipelines and visualization to monitor results of the improvement plans and identify exploitable opportunity areas;
4. Train machine learning models to classify, score and flag creatives or advertisers potentially detrimental to user experience and platform integrity;
5. Work closely with cross-functional partners (ad policy, product management, data analytics, operations, engineering) to identify, assess and propose solutions to escalations from users, advertisers, creators etc.
1. Bachelor's degree or above with a background in computer science, data science, analytics, math or statistics;
2. 2+ years' experience in a matrix environment with cross-regional collaborations;
3. Strong SQL capability (CTE, aggregate function etc.);
4. Strong analytical and research skills;
5. Proficiency in English is required; any second language proficiency is highly preferred but not required;
6. Proficiency with any scripting language, e.g. Python;
7. Proficiency with machine learning packages such sklearn, pyspark etc. to construct end to end GLM models with hyperparameter tuning.
About the TikTok Monetization Product Data Science team:
The TikTok Monetization Product Data Science team plays a critical role in driving initiatives to ensure efficient and healthy monetization through Ads and Commerce ecosystems.
You will work on an exciting array of newly launched or in-the-pipeline advertising platforms such as Livestream and E-Commerce.
Responsibilities:
1. Develop end to end analysis framework and distill replicable methodology to evaluate and improve Ads & E-Commerce ecosystem to ensure healthy as well as maximal monetization;
2. Liaise with multiple stakeholders across inter-functional teams to get buy-in and land above framework and co-create actionable, divisible improvement plans;
3. Build and maintain pipelines and visualization to monitor results of the improvement plans and identify exploitable opportunity areas;
4. Train machine learning models to classify, score and flag creatives or advertisers potentially detrimental to user experience and platform integrity;
5. Work closely with cross-functional partners (ad policy, product management, data analytics, operations, engineering) to identify, assess and propose solutions to escalations from users, advertisers, creators etc.
1. Bachelor's degree or above with a background in computer science, data science, analytics, math or statistics;
2. 2+ years' experience in a matrix environment with cross-regional collaborations;
3. Strong SQL capability (CTE, aggregate function etc.);
4. Strong analytical and research skills;
5. Proficiency in English is required; any second language proficiency is highly preferred but not required;
6. Proficiency with any scripting language, e.g. Python;
7. Proficiency with machine learning packages such sklearn, pyspark etc. to construct end to end GLM models with hyperparameter tuning.