Defending the health and integrity of the public conversation is Twitter’s top priority. The Compliance - Health Data Science Team partners with Product, Engineering, Data Engineering, and Policy to rigorously understand and quantify Twitter's highly complex and adversarial Compliance space and use this understanding to empower the Health Organization to better protect our users.

As a Data Scientist on the Content Compliance Team you will:

• Leverage data to identify unwanted interactions, violations of Twitter’s policies, misinformation, and other platform abuse then mitigate those issues with models or quantitatively driven product changes. 

• Design, implement, and analyze experiments to determine how new models or products improve the health of the platform.

• Own transparency metrics reporting for various regulators and government officials,  globally. 

• Conduct analyses to better understand the determinants of the health and integrity on Twitter. Use this understanding to suggest product improvements. 

• Create accurate and statistically sound summary metrics to evaluate the performance of Health related products and motivate teams’ targets/KRs.

• Communicate findings of new regulatory initiatives to executives, legal counsel and cross-functional teams.

• Be on the forefront of building a unified content moderation strategy at Twitter

• Help set the team direction by driving cross-functional alignment on projects and priorities.

• Be a key strategy player responsible for informing calculated compliance/noncompliance risk and help to identify least disruptive ways to comply with regulations.

• Advanced degree in a discipline that uses statistical analysis or mathematical modeling and 4+ years of work experience (or 7+ years of total work experience).

• Approximately 2+ years in the Compliance field or relevant domain.

• Experience measuring and mitigating consumer products’ vulnerability to manipulation and subversion.

• Experience with one or more of the following in an applied business setting: experimental design and analysis, quasi-experimental analysis, hypothesis testing, statistical modeling and machine learning.

• Track record for executing projects and leading complex, multi-functional projects with several dependencies, including Legal and Policy teams.

• Strong proficiency with Python / R and SQL; familiarity with Spark.

• Experience mentoring junior data scientists. 

All your information will be kept confidential according to EEO guidelines.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.