Data Scientist, Trust and Safety - USDS

TikTok

Education
Benefits
Special Commitments

Responsibilities

About TikTok

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.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About USDS

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.

U.S. Data Security (“USDS”) is a standalone entity of TikTok in the U.S. This new security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and user data in the U.S., so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

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 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
  • 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
  • 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

Qualifications

  • Bachelor/ Master degree in Computer Science, Data Science, Mathematics/Statistics, and other STEM majors is required
  • 4+ years of experience in data science, data analytics, product analytics, quantitative analysis, and machine learning experience to build ML-driven products for solving business problems
  • Knowledge of experimentation and testing of Minimum Viable Products to determine if proposed business models/solutions scale up
  • Experience in utilizing SQL/Python to extract, manipulate, and analyze datasets.
  • Experience with creating data visualizations to communicate metric performance.
  • Knowledge of statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms.
  • Strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization

Preferred Qualifications

  • 2+ years of experience as a Product or Applied Data Scientist
  • Previous experience in data science, data analytics, or product analytics at a consumer technology company.
  • Passion for social technology products and a curiosity to learn and grow with a fast-paced company.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Accommodation Statement

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at usds.accommodations@tiktokusds.com

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Confirmed an hour ago. Posted 30+ days ago.

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