Staff, Data Scientist

Twilio Twilio · Enterprise · United States · Remote · Finance

Staff Data Scientist role focused on driving advanced analytics and data science solutions to optimize sales performance and enable data-driven decision-making for the Go-To-Market organization. This involves building predictive models, improving measurement frameworks, and surfacing actionable insights, collaborating with data engineers, analysts, and fellow data scientists.

What you'd actually do

  1. Design, implement, and deploy predictive models and algorithms to inform sales strategies and drive measurable improvements.
  2. Develop and maintain robust dashboards and analytics tools using SQL and business intelligence platforms such as Looker or Tableau.
  3. Collaborate with go-to-market partners, including sales and marketing, to identify high-impact data science opportunities.
  4. Communicate complex analyses and recommendations to technical and non-technical stakeholders, including presenting to executives.
  5. Continuously refine metrics, measurement frameworks, and data pipelines to optimize accuracy and efficiency.

Skills

Required

  • 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 the JD emphasized

  • 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.

Other signals

  • optimize sales performance
  • build predictive models
  • improve measurement frameworks
  • surface actionable insights
  • power Twilio’s go-to-market strategy