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 work closely with our partners in Product, Engineering, Design, and Research to understand customer behavior, inform product decisions, and increase healthy participation on Twitter.
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 analyze how changes to the platform affect customer behavior and business outcomes. You will also communicate findings to cross-functional partners and use data to improve the team’s strategy.
You are a data scientist with a track record of delivering results. You find satisfaction in collaborating with partners and shipping changes that deliver measurable business impact. You apply machine learning and data science techniques when applicable, but are just as happy to implement a simple heuristic if it meets business needs. You are looking to join a strong, high-performing team.
You are great at:
Collaborating with product managers, engineers, and designers to drive business impact through data science
Performing analyses on raw event data in modern data warehouse systems
Taking ambiguous business and technical problems to an appropriate solution
Defining metrics and using data to better understand customer needs
Advanced 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 setting: developing statistical frameworks to understand customers and their behaviors, advanced statistical techniques for A/B testing, methods for experimental design, causal inference, or quasi-experimental analysis
[Bonus] Ability to create/improve reproducible analysis libraries
[Bonus] Experience with PySpark or BigQuery
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 status, genetic information, marital status or any other legally protected status.