Senior Data Scientist, Trust & Safety - USDS
Los Angeles, California, United States
Team Intro
At TikTok, we're committed to a process of continuous innovation and improvement in our user experience and safety controls. We're proud to be able to serve a global community of more than a billion people who use TikTok to creatively express themselves and be entertained, and we're dedicated to giving them a platform that builds opportunity and fosters connection. We also take our responsibility to safeguard our community seriously, both in how we address potentially harmful content and how we protect against unauthorized access to user data.
Our US Data Security Safety team provides key support for TikTok’s innovative initiatives, state-of-the-art products, and integrated platforms servicing our US market. As a Data Scientist on TikTok's US Data Security Safety Product team, you will be instrumental in ensuring that TikTok remains a safe, trustworthy, and risk-free environment to create and enjoy content across all of our apps while protecting our brand.
The ideal candidate will have a background in a statistics and product analytics, will have experience working with large data sets, and will have some experience delivering data products on a fast-paced team.
This Senior Data Scientist may be exposed to harmful content as part of their core day-to-day functions, as well as in project work; in response to escalation requests; or by chance.
Some content viewed my violate our community guidelines which include but are not limited to bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; and murder.
This position will be full-time and will be based in our Los Angeles or Mountain View, CA location.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve the impact of US Safety efforts
- This individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and hearts
- Be constantly curious and continue to pursue in-depth explorations of our datasets and business
- Conduct quantitative analysis, deliver insights, and influence US Safety decision making through understanding of user behavior and safety ecosystem
- Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on
- Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis
- Design and monitor core metrics; perform root cause analysis to explain drivers
- Identify trends and opportunities to drive safety initiatives and create a healthy ecosystem for content creators, users, and consumers
- Collect and provide quantitative and qualitative information to measure risk of feature/product launches and answer strategic business questions
At TikTok, we're committed to a process of continuous innovation and improvement in our user experience and safety controls. We're proud to be able to serve a global community of more than a billion people who use TikTok to creatively express themselves and be entertained, and we're dedicated to giving them a platform that builds opportunity and fosters connection. We also take our responsibility to safeguard our community seriously, both in how we address potentially harmful content and how we protect against unauthorized access to user data.
Our US Data Security Safety team provides key support for TikTok’s innovative initiatives, state-of-the-art products, and integrated platforms servicing our US market. As a Data Scientist on TikTok's US Data Security Safety Product team, you will be instrumental in ensuring that TikTok remains a safe, trustworthy, and risk-free environment to create and enjoy content across all of our apps while protecting our brand.
The ideal candidate will have a background in a statistics and product analytics, will have experience working with large data sets, and will have some experience delivering data products on a fast-paced team.
This Senior Data Scientist may be exposed to harmful content as part of their core day-to-day functions, as well as in project work; in response to escalation requests; or by chance.
Some content viewed my violate our community guidelines which include but are not limited to bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; and murder.
This position will be full-time and will be based in our Los Angeles or Mountain View, CA location.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve the impact of US Safety efforts
- This individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and hearts
- Be constantly curious and continue to pursue in-depth explorations of our datasets and business
- Conduct quantitative analysis, deliver insights, and influence US Safety decision making through understanding of user behavior and safety ecosystem
- Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on
- Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis
- Design and monitor core metrics; perform root cause analysis to explain drivers
- Identify trends and opportunities to drive safety initiatives and create a healthy ecosystem for content creators, users, and consumers
- Collect and provide quantitative and qualitative information to measure risk of feature/product launches and answer strategic business questions
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Data Science Jobs
Tags: Data analysis Engineering Machine Learning Research Security Statistics
Region:
North America
Country:
United States
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