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This position is needed to drive advanced analytics and data science solutions that optimize sales performance and enable data-driven decision-making across the Go-To-Market organization. As a Staff Data Scientist, you will accelerate growth and efficiency in Twilio's sales efforts by building predictive models, improving measurement frameworks, and surfacing actionable insights. Working within a centralized enterprise technology team, you'll partner closely with marketing and sales, collaborating with data engineers, analysts, and fellow data scientists to create high-impact solutions that power Twilio's go-to-market strategy and business decisions.
Job Responsibility:
Design, implement, and deploy predictive models and algorithms to inform sales strategies and drive measurable improvements
Develop and maintain robust dashboards and analytics tools using SQL and business intelligence platforms such as Looker or Tableau
Collaborate with go-to-market partners, including sales and marketing, to identify high-impact data science opportunities
Communicate complex analyses and recommendations to technical and non-technical stakeholders, including presenting to executives
Continuously refine metrics, measurement frameworks, and data pipelines to optimize accuracy and efficiency
Requirements:
8+ years of relevant experience in data science or advanced analytics roles
Expert-level SQL skills and dashboarding proficiency (e.g., Looker, Tableau)
Advanced programming experience in Python or R
Deep experience with statistical modeling, machine learning, and data analysis techniques
Strong verbal and written communication skills, including executive-facing presentations
Experience supporting Go-To-Market (GTM) and Sales organizations
Proven ability to synthesize complex problems and deliver actionable insights
Experience collaborating with cross-functional partners including engineers, analysts, and business stakeholders
Nice to have:
Familiarity with productionizing machine learning models in cloud environments
Experience with Git version control and workflow best practices
Advanced knowledge of data visualization and feature engineering
Experience working in enterprise B2B SaaS environments
Expertise in mathematical optimization and ETL processes
Familiarity with generative AI and deep learning approaches
Experience influencing senior leadership and driving organizational change through analytics
Master's or PhD in a quantitative field
What we offer:
competitive pay
generous time off
ample parental and wellness leave
healthcare
retirement savings program
eligibility to participate in Twilio's equity plan and corporate bonus plan