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.
Requirements
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
Tech Stack
Numpy
Pandas
Python
Scikit-Learn
SQL
Tableau
Benefits
Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
Retirement savings program
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan