Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.

Twitter’s mission is to serve the public conversation. The Content Data Science team designs metrics, performs analyses, and runs experiments to better understand the public conversation happening on Twitter. You’ll work closely with our partners in Product, Engineering, Design, Research, and Twitter’s leadership to understand user behavior, inform product decisions, and influence the company strategy.

As a Data Scientist, you will support the entire product development lifecycle from product ideation to opportunity sizing, from measurement design to experimentation, from causal analysis to post-launch learning, and iteration into the next development cycle. You will design and implement experiments or other econometric methods to understand how changes to the platform affect user behavior. Part of your role will include building novel metrics, identifying the impact of products and policies, and studying the causal impact of our product launches. You will also communicate findings to executives and cross-functional stakeholders.

You are great at:

• Collaborating with PMs, engineers, and designers to drive product impact through data science

• Defining metrics and success for products

• Mentoring junior data scientists

• Providing technical guidance and review to junior data scientists

• 5+ years of relevant experience in Data Science or adjacent roles
• Graduate degree in a quantitative field (PhD preferred) 
• Expertise solving complex and highly impactful quantitative business problems with at least one scripting language (Python, R, etc.) and SQL
• Experience with one or more of the following in an applied business setting: advanced statistical techniques for A/B testing, methods for experimental design, observational causal inference, or quasi-experimental analysis.

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

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.