Senior Data Scientist, Twilio

• Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
• 2+ years of professional experience in an analytics or data science role
• Advanced expertise using SQL to derive insights and in using dashboarding tools like Looker or Tableau to create compelling self-serve reports for product or business stakeholders
• Intermediate expertise in Python (e.g. pandas, numpy, scikit-learn) for data manipulation, analysis, and statistical modeling (e.g., clustering, forecasting, or decision trees)
• Familiarity with causal inference techniques such as A/B testing, propensity matching, or synthetic control
• Demonstrated ability to map business problem statements to an appropriate data science technique
• Answer-first, succinct communication; ability to communicate across technical and non-technical audiences

Desirable

• This position is needed to uncover analytical insights that quantify product performance and shape product strategy
• Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance
• We work closely with Product Managers to define product metrics and build self-serve reporting; measure the impact of product releases; and do analyses to shape strategic decisions
• Drive the definition and development of data science solutions to business problem statements from beginning to end: build relationships with partner teams, collect and analyze data, and develop recommendations to inform strategic decisions
• Generate insights and recommendations through exploratory analysis, A/B testing, and statistical modeling
• Work with product managers to design and analyze experiments to measure the impact of new features and develop a data-driven narrative on how their product is performing for use in monthly reviews
• Collaborate with data producers and consumers during the product development lifecycle to ensure consistent data quality and availability for reporting post launch

• Applications for this role are intended to be accepted until 2/28/2026, but may change based on business needs