Staff, Data Scientist (L4) GTM Data Science & Analytics

Twilio

16h•Remote

About The Position

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.

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 Haves

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.

Responsibilities

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.