[Hiring] Senior Data Scientist @Twilio

Role Description

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.

• 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.

Qualifications

• 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

Requirements

• 4+ years of professional experience in a product-focused analytics or data science role, with 2+ years of experience in a B2B SaaS context
• Bachelor’s and Master’s in a quantitative field
• Familiarity with machine learning techniques
• Experience with data warehousing and/or ETL processes, including distributed computing technologies such as Hive, Presto, or Spark

Benefits

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• Retirement savings program
• Participation in Twilio’s equity plan and corporate bonus plan
• Health care insurance
• 401(k) retirement account
• Paid sick time
• Paid personal time off
• Paid parental leave