Twitter serves the public conversation by encouraging people all over the world to connect, learn, debate, and solve problems together. We believe conversation can change the world, and that’s why Tweeps (that’s what we call Twitter employees) come to work every day.

You will collaborate with machine learning researchers and engineers to provide social science-based support/guidance for Twitter’s core ML efforts, based on a deep technical and understanding of product and relevant social science. That means you’ll identify areas where machine learning can have the greatest impact, define problems, generate and test hypotheses, and develop clear success metrics. Specifically, the work will involve exploratory analysis, identifying high-impact data sets & model features, critical review of offline and online model performance, building proof of concepts, and integrating experimentation and observational causal inference in the ML process. It also means helping to measure the business impact of ML improvements. 

You will work closely with our partners in Cortex and in the broader Product, Engineering, Design, and Research organizations. Cortex is a community of Machine Learning Researchers and Engineers, working to help Twitter leverage and advance ML through practical / product-driven problem spaces in a range of systems such as recommendations, safety, abuse, content understanding (NLP), ads, and more

• PhD in a quantitative field or commensurate work experience.
• 5+ years of experience as a data scientist in a tech environment.
• Expertise solving complex and high impact quantitative business problems with at least one scripting language (Python, R, etc.) and SQL on data from modern warehousing systems.
• Experience with one or more of the following in an applied setting: building machine learning algorithms to solve business problems,  observational causal inference techniques for measuring business impact, advanced statistical techniques for A/B testing/analysis of experiments.
• Knowledgeable of core CS concepts such as common data structures and algorithms
• Ability to create/improve reproducible analysis libraries.
• Comfortable conducting design, code and analysis reviews.

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.