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

**Company:** [Twilio](https://hotfix.jobs/companies/twilio)
**Location:** Remote
**Role:** Data Science
**Salary:** $156K-$229K
**Experience:** 8+ years
**Skills:** SQL, Python, R, Machine Learning, Statistical Modeling, Looker, Tableau, Data Analysis, Data Visualization, Git, ETL, Generative AI, Deep Learning
**Posted:** 2026-04-30

> Builds predictive models and analytics tools to optimize sales performance and enable data-driven GTM decisions. Partners with sales/marketing using SQL, Python/R, ML, and BI platforms; 8+ years experience required.

## Job Description

## 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.

## Qualifications
**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.

**Desired:**
- 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.

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