Responsibilities

Our US Data Security Safety team provides key support for Tik Tok's innovative initiatives, state-of-the-art products, and integrated platforms servicing our US market. As a Data Scientist on Tik Tok's US Data Security Trust & Safety team, you will be instrumental in ensuring that Tik Tok remains a safe, trustworthy, and risk-free environment to create and enjoy content across all of our apps while protecting our brand. This role is focused on the user support operations team and related issues.

The ideal candidate will have a background in statistics, product analytics, experimentation and causal inference, in addition to experience working with a wide range of cross-functional partners to deliver data products, measurement tools and strategic insights in a fast paced environment.

This 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 may 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.

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.

Key Responsibilities

• Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve the impact of US Safety efforts
• Break down complex 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 datasets and business
• Conduct quantitative analysis, deliver insights, and influence US Safety decision making through understanding of user behavior and safety ecosystem
• Design, execute and analyze experiments to understand the impact of product, model, or operational changes on the business
• Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on
• Develop deep understanding of the organization's data structure; look for ways to improve to enhance 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 positive 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

Minimum Qualifications

• Ph.D., M.S., or Bachelors degree in Computer Science, Data Science, Mathematics/Statistics and other STEM majors is required
• 4+ years of industry experience in data science, data analytics, product analytics, quantitative analysis and machine learning experience to build ML-driven products for solving business problems
• Experience with 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
• Experience with statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms
• Experience building data infrastructure and implementing reporting solutions

Preferred Qualifications

• Experience with causal inference and quasi-experimental techniques
• Previous experience in data science, data analytics, or product analytics at a consumer technology company, or experience as a Product or Applied Data Scientist
• Passion for social technology products and a curiosity to learn and grow with a fast paced company
• Ability to work in a high tempo environment, adapt, and respond to day-to-day challenges of the role
• Resilience and commitment to self-care to manage the emotional demands of the role

Compensation

The base salary range for this position in the selected city is $136,800 - $312,867 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 benefits.